brackozi/Resume

1Category,Resume2Data Science,"Skills * Programming Languages: Python (pandas, numpy, scipy, scikit-learn, matplotlib), Sql, Java, JavaScript/JQuery. * Machine learning: Regression, SVM, Naïve Bayes, KNN, Random Forest, Decision Trees, Boosting techniques, Cluster Analysis, Word Embedding, Sentiment Analysis, Natural Language processing, Dimensionality reduction, Topic Modelling (LDA, NMF), PCA & Neural Nets. * Database Visualizations: Mysql, SqlServer, Cassandra, Hbase, ElasticSearch D3.js, DC.js, Plotly, kibana, matplotlib, ggplot, Tableau. * Others: Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, computer vision - Open CV and understanding of Deep learning.Education Details 3 4Data Science Assurance Associate 5 6Data Science Assurance Associate - Ernst & Young LLP7Skill Details 8JAVASCRIPT- Exprience - 24 months9jQuery- Exprience - 24 months10Python- Exprience - 24 monthsCompany Details 11company - Ernst & Young LLP12description - Fraud Investigations and Dispute Services   Assurance13TECHNOLOGY ASSISTED REVIEW14TAR (Technology Assisted Review) assists in accelerating the review process and run analytics and generate reports.15* Core member of a team helped in developing automated review platform tool from scratch for assisting E discovery domain, this tool implements predictive coding and topic modelling by automating reviews, resulting in reduced labor costs and time spent during the lawyers review.16* Understand the end to end flow of the solution, doing research and development for classification models, predictive analysis and mining of the information present in text data. Worked on analyzing the outputs and precision monitoring for the entire tool.17* TAR assists in predictive coding, topic modelling from the evidence by following EY standards. Developed the classifier models in order to identify ""red flags"" and fraud-related issues.18 19Tools & Technologies: Python, scikit-learn, tfidf, word2vec, doc2vec, cosine similarity, Naïve Bayes, LDA, NMF for topic modelling, Vader and text blob for sentiment analysis. Matplot lib, Tableau dashboard for reporting.20 21MULTIPLE DATA SCIENCE AND ANALYTIC PROJECTS (USA CLIENTS)22TEXT ANALYTICS - MOTOR VEHICLE CUSTOMER REVIEW DATA * Received customer feedback survey data for past one year. Performed sentiment (Positive, Negative & Neutral) and time series analysis on customer comments across all 4 categories.23* Created heat map of terms by survey category based on frequency of words * Extracted Positive and Negative words across all the Survey categories and plotted Word cloud.24* Created customized tableau dashboards for effective reporting and visualizations.25CHATBOT * Developed a user friendly chatbot for one of our Products which handle simple questions about hours of operation, reservation options and so on.26* This chat bot serves entire product related questions. Giving overview of tool via QA platform and also give recommendation responses so that user question to build chain of relevant answer.27* This too has intelligence to build the pipeline of questions as per user requirement and asks the relevant /recommended questions.28 29Tools & Technologies: Python, Natural language processing, NLTK, spacy, topic modelling, Sentiment analysis, Word Embedding, scikit-learn, JavaScript/JQuery, SqlServer30 31INFORMATION GOVERNANCE32Organizations to make informed decisions about all of the information they store. The integrated Information Governance portfolio synthesizes intelligence across unstructured data sources and facilitates action to ensure organizations are best positioned to counter information risk.33* Scan data from multiple sources of formats and parse different file formats, extract Meta data information, push results for indexing elastic search and created customized, interactive dashboards using kibana.34* Preforming ROT Analysis on the data which give information of data which helps identify content that is either Redundant, Outdated, or Trivial.35* Preforming full-text search analysis on elastic search with predefined methods which can tag as (PII) personally identifiable information (social security numbers, addresses, names, etc.) which frequently targeted during cyber-attacks.36Tools & Technologies: Python, Flask, Elastic Search, Kibana37 38FRAUD ANALYTIC PLATFORM39Fraud Analytics and investigative platform to review all red flag cases.40• FAP is a Fraud Analytics and investigative platform with inbuilt case manager and suite of Analytics for various ERP systems.41* It can be used by clients to interrogate their Accounting systems for identifying the anomalies which can be indicators of fraud by running advanced analytics42Tools & Technologies: HTML, JavaScript, SqlServer, JQuery, CSS, Bootstrap, Node.js, D3.js, DC.js"43Data Science,"Education Details 44May 2013 to May 2017 B.E   UIT-RGPV45Data Scientist 46 47Data Scientist - Matelabs48Skill Details 49Python- Exprience - Less than 1 year months50Statsmodels- Exprience - 12 months51AWS- Exprience - Less than 1 year months52Machine learning- Exprience - Less than 1 year months53Sklearn- Exprience - Less than 1 year months54Scipy- Exprience - Less than 1 year months55Keras- Exprience - Less than 1 year monthsCompany Details 56company - Matelabs57description - ML Platform for business professionals, dummies and enthusiasts.5860/A Koramangala 5th block,59Achievements/Tasks behind sukh sagar, Bengaluru,60India                               Developed and deployed auto preprocessing steps of machine learning mainly missing value61treatment, outlier detection, encoding, scaling, feature selection and dimensionality reduction.62Deployed automated classification and regression model.63linkedin.com/in/aditya-rathore-64b4600b146                           Reasearch and deployed the time series forecasting model ARIMA, SARIMAX, Holt-winter and65Prophet.66Worked on meta-feature extracting problem.67github.com/rathorology68Implemented a state of the art research paper on outlier detection for mixed attributes.69company - Matelabs70description - "71Data Science,"Areas of Interest Deep Learning, Control System Design, Programming in-Python, Electric Machinery, Web Development, Analytics Technical Activities q Hindustan Aeronautics Limited, Bangalore - For 4 weeks under the guidance of Mr. Satish, Senior Engineer in the hangar of Mirage 2000 fighter aircraft Technical Skills Programming Matlab, Python and Java, LabView, Python WebFrameWork-Django, Flask, LTSPICE-intermediate Languages and and MIPOWER-intermediate, Github (GitBash), Jupyter Notebook, Xampp, MySQL-Basics, Python Software Packages Interpreters-Anaconda, Python2, Python3, Pycharm, Java IDE-Eclipse Operating Systems Windows, Ubuntu, Debian-Kali Linux Education Details 72January 2019 B.Tech. Electrical and Electronics Engineering  Manipal Institute of Technology73January 2015    DEEKSHA CENTER74January 2013    Little Flower Public School75August 2000    Manipal Academy of Higher76DATA SCIENCE 77 78DATA SCIENCE AND ELECTRICAL ENTHUSIAST79Skill Details 80Data Analysis- Exprience - Less than 1 year months81excel- Exprience - Less than 1 year months82Machine Learning- Exprience - Less than 1 year months83mathematics- Exprience - Less than 1 year months84Python- Exprience - Less than 1 year months85Matlab- Exprience - Less than 1 year months86Electrical Engineering- Exprience - Less than 1 year months87Sql- Exprience - Less than 1 year monthsCompany Details 88company - THEMATHCOMPANY89description - I am currently working with a Casino based operator(name not to be disclosed) in Macau.I need to segment the customers who visit their property based on the value the patrons bring into the company.Basically prove that the segmentation can be done in much better way than the current system which they have with proper numbers to back it up.Henceforth they can implement target marketing strategy to attract their customers who add value to the business."90Data Science,"Skills • R • Python • SAP HANA • Tableau • SAP HANA SQL • SAP HANA PAL • MS SQL • SAP Lumira • C# • Linear Programming • Data Modelling • Advance Analytics • SCM Analytics • Retail Analytics •Social Media Analytics • NLP Education Details 91January 2017 to January 2018 PGDM Business Analytics  Great Lakes Institute of Management & Illinois Institute of Technology92January 2013 Bachelor of Engineering Electronics and Communication Bengaluru, Karnataka New Horizon College of Engineering, Bangalore Visvesvaraya Technological University93Data Science Consultant 94 95Consultant - Deloitte USI96Skill Details 97LINEAR PROGRAMMING- Exprience - 6 months98RETAIL- Exprience - 6 months99RETAIL MARKETING- Exprience - 6 months100SCM- Exprience - 6 months101SQL- Exprience - Less than 1 year months102Deep Learning- Exprience - Less than 1 year months103Machine learning- Exprience - Less than 1 year months104Python- Exprience - Less than 1 year months105R- Exprience - Less than 1 year monthsCompany Details 106company - Deloitte USI107description - The project involved analysing historic deals and coming with insights to optimize future deals.108Role: Was given raw data, carried out end to end analysis and presented insights to client.109Key Responsibilities:110• Extract data from client systems across geographies.111• Understand and build reports in tableau. Infer meaningful insights to optimize prices and find out process blockades.112Technical Environment: R, Tableau.113 114Industry: Cross Industry115Service Area: Cross Industry - Products116Project Name: Handwriting recognition117Consultant: 3 months.118The project involved taking handwritten images and converting them to digital text images by object detection and sentence creation.119Role: I was developing sentence correction functionality.120Key Responsibilities:121• Gather data large enough to capture all English words122• Train LSTM models on words.123Technical Environment: Python.124 125Industry: Finance126Service Area: Financial Services - BI development Project Name: SWIFT127Consultant: 8 months.128The project was to develop an analytics infrastructure on top of SAP S/4, it would user to view129financial reports to respective departments. Reporting also included forecasting expenses.130Role: I was leading the offshore team.131Key Responsibilities:132• Design & Develop data models for reporting.133• Develop ETL for data flow134• Validate various reports.135Technical Environment: SAP HANA, Tableau, SAP AO.136 137Industry: Healthcare Analytics138Service Area: Life Sciences - Product development Project Name: Clinical Healthcare System139Consultant: 2 months.140The project was to develop an analytics infrastructure on top of Argus, it would allow users to query faster and provide advance analytics capabilities.141Role: I was involved from design to deploy phase, performed a lot of data restructuring and built142models for insights.143Key Responsibilities:144• Design & Develop data models for reporting.145• Develop and deploy analytical models.146• Validate various reports.147Technical Environment: Data Modelling, SAP HANA, Tableau, NLP.148 149Industry: FMCG150Service Area: Trade & Promotion151Project Name: Consumption Based Planning for Flowers Foods Consultant; 8 months.152The project involved setting up of CRM and CBP modules.153Role: I was involved in key data decomposition activities and setting up the base for future year154forecast. Over the course of the project I developed various models and carried out key155performance improvements.156Key Responsibilities:157• Design & Develop HANA models for decomposition.158• Develop data flow for forecast.159• Developed various views for reporting of Customer/Sales/Funds.160• Validate various reports in BOBJ.161Technical Environment: Data Modelling, SAP HANA, BOBJ, Time Series Forecasting.162 163Internal Initiative Industry: FMCG164Customer Segmentation and RFM analysis Consultant; 3 months.165The initiative involved setting up of HANA-Python interface and advance analytics on Python. Over the course I had successfully segmented data into five core segments using K-means and carried out RFM analysis in Python. Also developed algorithm to categorize any new customer under the defined buckets.166Technical Environment: Anaconda3, Python3.6, HANA SPS12167 168Industry: Telecom Invoice state detection Consultant; 1 months.169The initiative was to reduce the manual effort in verifying closed and open invoices manually, it170involved development to a decision tree to classify open/closed invoices. This enabled effort171reduction by 60%.172Technical Environment: R, SAP PAL, SAP HANA SPS12173 174Accenture Experience175Industry: Analytics - Cross Industry176In Process Analytics for SAP Senior Developer; 19 months.177Accenture Solutions Pvt. Ltd., India178The project involved development of SAP analytics tool - In Process Analytics (IPA) . My role was to develop database objects and data models to provide operational insights to clients.179Role: I have developed various Finance related KPIs and spearheaded various deployments.180Introduced SAP Predictive analytics to reduce development time and reuse functionalities for KPIs and prepared production planning reports.181Key Responsibilities:182• Involved in information gather phase.183• Designed and implemented SAP HANA data modelling using Attribute View, Analytic View, and184Calculation View.185• Developed various KPI's individually using complex SQL scripts in Calculation views.186• Created procedures in HANA Database.187• Took ownership and developed Dashboard functionality.188• Involved in building data processing algorithms to be executed in R server for cluster analysis.189Technical Environment: R, SAP HANA, T-SQL.190Industry: Cross Industry191Accenture Testing Accelerator for SAP Database Developer; 21 months.192Accenture Solutions Pvt. Ltd., India193Role: I have taken care of all development activities for the ATAS tool and have also completed194various deployments of the product.195Apart from these activities I was also actively involved in maintenance of the database servers196(Production & Quality)197Key Responsibilities:198• Analyzing business requirements, understanding the scope, getting requirements clarified199interacting with business and further transform all requirements to generate attribute200mapping documents and reviewing mapping specification documentation201• Create / Update database objects like tables, views, stored procedures, function, and packages202• Monitored SQL Server Error Logs and Application Logs through SQL Server Agent203• Prepared Data Flow Diagrams, Entity Relationship Diagrams using UML204• Responsible for Designing, developing and Normalization of database tables205• Experience in performance tuning using SQL profiler.206• Involved in QA, UAT, knowledge transfer and support activities207Technical Environment: SQL Server 2008/2014, Visual Studio 2010, Windows Server, Performance208Monitor, SQL Server Profiler, C#, PL-SQL, T-SQL."209Data Science,"Education Details 210 MCA   YMCAUST,  Faridabad,  Haryana211Data Science internship 212 213 214Skill Details 215Data Structure- Exprience - Less than 1 year months216C- Exprience - Less than 1 year months217Data Analysis- Exprience - Less than 1 year months218Python- Exprience - Less than 1 year months219Core Java- Exprience - Less than 1 year months220Database Management- Exprience - Less than 1 year monthsCompany Details 221company - Itechpower222description - "223Data Science,"SKILLS C Basics, IOT, Python, MATLAB, Data Science, Machine Learning, HTML, Microsoft Word, Microsoft Excel, Microsoft Powerpoint. RECOGNITION Academic Secured First place in B.Tech.Education Details 224August 2014 to May 2018 B.Tech.  Ghatkesar, Andhra Pradesh Aurora's Scientific and Technological Institute225June 2012 to May 2014  Secondary Education Warangal, Telangana SR Junior College226Data Science 227 228 229Skill Details 230MS OFFICE- Exprience - Less than 1 year months231C- Exprience - Less than 1 year months232machine learning- Exprience - Less than 1 year months233data science- Exprience - Less than 1 year months234Matlab- Exprience - Less than 1 year monthsCompany Details 235company - 236description - "237Data Science,"Skills • Python • Tableau • Data Visualization • R Studio • Machine Learning • Statistics IABAC Certified Data Scientist with versatile experience over 1+ years in managing business, data science consulting and leading innovation projects, bringing business ideas to working real world solutions. Being a strong advocator of augmented era, where human capabilities are enhanced by machines, Fahed is passionate about bringing business concepts in area of machine learning, AI, robotics etc., to real life solutions.Education Details 238January 2017 B. Tech Computer Science & Engineering Mohali, Punjab Indo Global College of Engineering239Data Science Consultant 240 241Data Science Consultant - Datamites242Skill Details 243MACHINE LEARNING- Exprience - 13 months244PYTHON- Exprience - 24 months245SOLUTIONS- Exprience - 24 months246DATA SCIENCE- Exprience - 24 months247DATA VISUALIZATION- Exprience - 24 months248Tableau- Exprience - 24 monthsCompany Details 249company - Datamites250description - • Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.251• Responsible for loading, extracting and validation of client data.252• Worked on manipulating, cleaning & processing data using python.253• Used Tableau for data visualization.254company - Heretic Solutions Pvt Ltd255description - • Worked closely with business to identify issues and used data to propose solutions for effective decision making.256• Manipulating, cleansing & processing data using Python, Excel and R.257• Analyzed raw data, drawing conclusions & developing recommendations.258• Used machine learning tools and statistical techniques to produce solutions to problems."259Data Science,"Education Details 260 B.Tech   Rayat and Bahra Institute of Engineering and Biotechnology261Data Science 262 263Data Science264Skill Details 265Numpy- Exprience - Less than 1 year months266Machine Learning- Exprience - Less than 1 year months267Tensorflow- Exprience - Less than 1 year months268Scikit- Exprience - Less than 1 year months269Python- Exprience - Less than 1 year months270GCP- Exprience - Less than 1 year months271Pandas- Exprience - Less than 1 year months272Neural Network- Exprience - Less than 1 year monthsCompany Details 273company - Wipro274description - Bhawana Aggarwal275E-Mail:bhawana.chd@gmail.com276Phone: 09876971076277VVersatile, high-energy professional targeting challenging assignments in Machine278PROFILE SUMMARY279▪ An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine280Learning, Deep Learning, Data Science, Python, Software Development.281▪ Skilled in managing end-to-end development and software products / projects from inception, requirement282specs, planning, designing, implementation, configuration and documentation.283▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network,284NLP, GCP.285▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks.286▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off,287Support vector Machine(SVM),Logistic Regression, Neural networks.288▪ Have knowledge on unsupervised, Supervised and reinforcement data.289▪ Programming experience in relational platforms like MySQL,Oracle.290▪ Have knowledge on Some programming language like C++,Java.291▪ Experience in cloud based environment like Google Cloud.292▪ Working on different Operating System like Linux, Ubuntu, Windows.293▪ Good interpersonal and communication skills.294▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term295perspective296▪ Flexibility and an open attitude to change.297▪ Ability to create, define and own frameworks with a strong emphasis on code reusability.298TECHNICAL SKILLS299Programming Languages Python, C300Libraries Seaborn, Numpy, Pandas, Cufflinks, Matplotlib301Algorithms302KNN, Decision Tree, Linear regression, Logistic Regression, Neural Networks, K means clustering,303Tensorflow, SVM304Databases SQL, Oracle305Operating Systems Linux, Window306Development Environments NetBeans, Notebooks, Sublime307Ticketing tools Service Now, Remedy308Education309UG Education:310B.Tech (Computer Science) from Rayat and Bahra Institute of Engineering and Biotechnology passed with 78.4%in3112016.312Schooling:313XII in 2012 from Moti Ram Arya Sr. Secondary School(Passed with 78.4%)314X in 2010 from Valley Public School (Passed with 9.4 CGPA)315WORK EXPERINCE316Title : Wipro Neural Intelligence Platform317Team Size : 5318Brief: Wipro’s Neural Intelligence Platform harnesses the power of automation and artificial intelligence319technologies—natural language processing (NLP), cognitive, machine learning, and analytics. The platform320comprises three layers: a data engagement platform that can easily access and manage multiple structured and321unstructured data sources; an “intent assessment and reasoning” engine that includes sentiment and predictive322analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed323automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning,324NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be325eliminated.326Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like327dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU api’s and machine learning using328Tensor flow for further learning of new entities.329Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn330classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best331suited response and make the system efficient.332NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills,333Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities334using Keras TensorFlow framework.335OTHER PROJECTS336Title : Diabetes Detection337Brief : Developed the software which can detect whether the person is suffering from Diabetes or not and got the third338prize in it.339TRAINING AND CERTIFICATIONS340Title: Python Training, Machine Learning, Data Science, Deep Learning341Organization: Udemy, Coursera (Machine Learning, Deep Learning)342Personal Profile343Father’s Name :Mr. Tirlok Aggarwal344Language Known : English & Hindi345Marital Status :Single346Date of Birth(Gender):1993-12-20(YYYY-MM-DD) (F)347company - Wipro348description - Developing programs in Python.349company - Wipro350description - Title : Wipro Neural Intelligence Platform351Team Size : 5352Brief: Wipro’s Neural Intelligence Platform harnesses the power of automation and artificial intelligence353technologies—natural language processing (NLP), cognitive, machine learning, and analytics. The platform354comprises three layers: a data engagement platform that can easily access and manage multiple structured and355unstructured data sources; an “intent assessment and reasoning” engine that includes sentiment and predictive356analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed357automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning,358NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be359eliminated.360Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like361dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU api’s and machine learning using362Tensor flow for further learning of new entities.363Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn364classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best365suited response and make the system efficient.366NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills,367Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities368using Keras TensorFlow framework.369company - Wipro Technologies370description - An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine371Learning, Deep Learning, Data Science, Python, Software Development.372▪ Skilled in managing end-to-end development and software products / projects from inception, requirement373specs, planning, designing, implementation, configuration and documentation.374▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network,375NLP, GCP.376▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks.377▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off,378Support vector Machine(SVM),Logistic Regression, Neural networks.379▪ Have knowledge on unsupervised, Supervised and reinforcement data.380▪ Programming experience in relational platforms like MySQL,Oracle.381▪ Have knowledge on Some programming language like C++,Java.382▪ Experience in cloud based environment like Google Cloud.383▪ Working on different Operating System like Linux, Ubuntu, Windows.384▪ Good interpersonal and communication skills.385▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term386perspective387▪ Flexibility and an open attitude to change.388▪ Ability to create, define and own frameworks with a strong emphasis on code reusability."389Data Science,"Personal Skills ➢ Ability to quickly grasp technical aspects and willingness to learn ➢ High energy levels & Result oriented. Education Details 390January 2018 Master of Engineering Computer Technology & Application Bhopal, Madhya Pradesh Truba Institute of Engineering & Information Technology391January 2010 B.E. computer science Bhopal, Madhya Pradesh RKDF Institute of Science and Technology College of Engineering392January 2006 Polytechnic Information Technology Vidisha, Madhya Pradesh SATI Engineering College in Vidisha393January 2003 M.tech Thesis Detail  BMCH School in Ganj basoda394Data science 395 396I have six month experience in Data Science. Key Skills: - Experience in Machine Learning, Deep Leaning, NLP, Python, SQL, Web Scraping Good knowledge in computer subjects and ability to update397Skill Details 398Experience in Machine Learning, Deep Learning, NLP, Python, SQL, Web Crawling, HTML,CSS.- Exprience - Less than 1 year monthsCompany Details 399company - RNT.AI Technology Solution400description - Text classification using Machine learning Algorithms with python.401Practical knowledge of Deep learning algorithms such as  Recurrent Neural Networks(RNN).402Develop custom data models and algorithms to apply to dataset403Experience with Python packages like Pandas, Scikit-learn, Tensor Flow, Numpy, Matplotliv, NLTK.404Comfort with SQL,  MYSQL405Sentiment analysis.406 Apply leave Dataset using classification technique like Tf--idf , LSA with cosine similarity using Machine learning Algorithms.407Web crawling using Selenium web driver and Beautiful Soup with python.408company - Life Insurance Corporation of India Bhopal409description - ü Explaining policy features and the benefits410ü Updated knowledge of life insurance products and shared with customers"411Data Science,"Expertise − Data and Quantitative Analysis − Decision Analytics − Predictive Modeling − Data-Driven Personalization − KPI Dashboards − Big Data Queries and Interpretation − Data Mining and Visualization Tools − Machine Learning Algorithms − Business Intelligence (BI) − Research, Reports and Forecasts Education Details 412 PGP in Data Science  Mumbai, Maharashtra Aegis School of data science & Business413 B.E. in Electronics & Communication Electronics & Communication Indore, Madhya Pradesh IES IPS Academy414Data Scientist 415 416Data Scientist with PR Canada417Skill Details 418Algorithms- Exprience - 6 months419BI- Exprience - 6 months420Business Intelligence- Exprience - 6 months421Machine Learning- Exprience - 24 months422Visualization- Exprience - 24 months423spark- Exprience - 24 months424python- Exprience - 36 months425tableau- Exprience - 36 months426Data Analysis- Exprience - 24 monthsCompany Details 427company - Aegis school of Data Science & Business428description - Mostly working on industry project for providing solution along with Teaching Appointments: Teach undergraduate and graduate-level courses in Spark and Machine Learning as an adjunct faculty member at Aegis School of Data Science, Mumbai (2017 to Present)429company - Aegis school of Data & Business430description - Data Science Intern, Nov 2015 to Jan 2016431 432Furnish executive leadership team with insights, analytics, reports and recommendations enabling effective strategic planning across all business units, distribution channels and product lines.433 434➔ Chat Bot using AWS LEX and Tensor flow  Python435The goal of project creates a chat bot for an academic institution or university to handle queries related courses offered by that institute. The objective of this task is to reduce human efforts as well as reduce man made errors. Even by this companies handle their client 24x7. In this case companies are academic institutions and clients are participants or students.436➔ Web scraping using Selenium web driver   Python437The task is to scrap the data from the online messaging portal in a text format and have to find the pattern form it.438➔ Data Visualization and Data insights   Hadoop Eco System, Hive, PySpark, QlikSense439The goal of this project is to build a Business Solutions to a Internet Service Provider Company, like handling data which is generated per day basis, for that we have to visualize that data and find the usage pattern form it and have a generate a reports.440➔ Image Based Fraud Detection   Microsoft Face API, PySpark, Open CV441The main goal of project is Recognize similarity for a face to given Database images. Face recognition is the recognizing a special face from set of different faces. Face is extracted and then compared with the database Image if that Image recognized then the person already applied for loan from somewhere else and now hiding his or her identity, this is how we are going to prevent the frauds in the initial stage itself.442➔ Churn Analysis for Internet Service Provider   R, Python, Machine Learning, Hadoop443The objective is to identify the customer who is likely to churn in a given period of time; we have to pretend the customer giving incentive offers.444➔ Sentiment Analysis   Python, NLP, Apache Spark service in IBM Bluemix.445This project is highly emphasis on tweets from Twitter data were taken for mobile networks service provider to do a sentiment analysis and analyze whether the expressed opinion was positive, negative or neutral, capture the emotions of the tweets and comparative analysis.446 447Quantifiable Results:448− Mentored 7-12 Data Science Enthusiast each year that have all since gone on to graduate school in Data Science and Business Analytics.449− Reviewed and evaluated 20-40 Research Papers on Data Science for one of the largest Data Science Conference called Data Science Congress by Aegis School of Business Mumbai.450− Heading a solution providing organization called Data Science Delivered into Aegis school of Data Science Mumbai and managed 4-5 live projects using Data Science techniques.451− Working for some social cause with the help of Data Science for Social Goods Committee, where our team developed a product called ""Let's find a missing Child"" for helping society.452company - IBM India pvt ltd453description - Mostly worked on blumix and IBM Watson for Data science."454Data Science,"Skills * Programming Languages: Python (pandas, numpy, scipy, scikit-learn, matplotlib), Sql, Java, JavaScript/JQuery. * Machine learning: Regression, SVM, Naïve Bayes, KNN, Random Forest, Decision Trees, Boosting techniques, Cluster Analysis, Word Embedding, Sentiment Analysis, Natural Language processing, Dimensionality reduction, Topic Modelling (LDA, NMF), PCA & Neural Nets. * Database Visualizations: Mysql, SqlServer, Cassandra, Hbase, ElasticSearch D3.js, DC.js, Plotly, kibana, matplotlib, ggplot, Tableau. * Others: Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, computer vision - Open CV and understanding of Deep learning.Education Details 455 456Data Science Assurance Associate 457 458Data Science Assurance Associate - Ernst & Young LLP459Skill Details 460JAVASCRIPT- Exprience - 24 months461jQuery- Exprience - 24 months462Python- Exprience - 24 monthsCompany Details 463company - Ernst & Young LLP464description - Fraud Investigations and Dispute Services   Assurance465TECHNOLOGY ASSISTED REVIEW466TAR (Technology Assisted Review) assists in accelerating the review process and run analytics and generate reports.467* Core member of a team helped in developing automated review platform tool from scratch for assisting E discovery domain, this tool implements predictive coding and topic modelling by automating reviews, resulting in reduced labor costs and time spent during the lawyers review.468* Understand the end to end flow of the solution, doing research and development for classification models, predictive analysis and mining of the information present in text data. Worked on analyzing the outputs and precision monitoring for the entire tool.469* TAR assists in predictive coding, topic modelling from the evidence by following EY standards. Developed the classifier models in order to identify ""red flags"" and fraud-related issues.470 471Tools & Technologies: Python, scikit-learn, tfidf, word2vec, doc2vec, cosine similarity, Naïve Bayes, LDA, NMF for topic modelling, Vader and text blob for sentiment analysis. Matplot lib, Tableau dashboard for reporting.472 473MULTIPLE DATA SCIENCE AND ANALYTIC PROJECTS (USA CLIENTS)474TEXT ANALYTICS - MOTOR VEHICLE CUSTOMER REVIEW DATA * Received customer feedback survey data for past one year. Performed sentiment (Positive, Negative & Neutral) and time series analysis on customer comments across all 4 categories.475* Created heat map of terms by survey category based on frequency of words * Extracted Positive and Negative words across all the Survey categories and plotted Word cloud.476* Created customized tableau dashboards for effective reporting and visualizations.477CHATBOT * Developed a user friendly chatbot for one of our Products which handle simple questions about hours of operation, reservation options and so on.478* This chat bot serves entire product related questions. Giving overview of tool via QA platform and also give recommendation responses so that user question to build chain of relevant answer.479* This too has intelligence to build the pipeline of questions as per user requirement and asks the relevant /recommended questions.480 481Tools & Technologies: Python, Natural language processing, NLTK, spacy, topic modelling, Sentiment analysis, Word Embedding, scikit-learn, JavaScript/JQuery, SqlServer482 483INFORMATION GOVERNANCE484Organizations to make informed decisions about all of the information they store. The integrated Information Governance portfolio synthesizes intelligence across unstructured data sources and facilitates action to ensure organizations are best positioned to counter information risk.485* Scan data from multiple sources of formats and parse different file formats, extract Meta data information, push results for indexing elastic search and created customized, interactive dashboards using kibana.486* Preforming ROT Analysis on the data which give information of data which helps identify content that is either Redundant, Outdated, or Trivial.487* Preforming full-text search analysis on elastic search with predefined methods which can tag as (PII) personally identifiable information (social security numbers, addresses, names, etc.) which frequently targeted during cyber-attacks.488Tools & Technologies: Python, Flask, Elastic Search, Kibana489 490FRAUD ANALYTIC PLATFORM491Fraud Analytics and investigative platform to review all red flag cases.492• FAP is a Fraud Analytics and investigative platform with inbuilt case manager and suite of Analytics for various ERP systems.493* It can be used by clients to interrogate their Accounting systems for identifying the anomalies which can be indicators of fraud by running advanced analytics494Tools & Technologies: HTML, JavaScript, SqlServer, JQuery, CSS, Bootstrap, Node.js, D3.js, DC.js"495Data Science,"Education Details 496May 2013 to May 2017 B.E   UIT-RGPV497Data Scientist 498 499Data Scientist - Matelabs500Skill Details 501Python- Exprience - Less than 1 year months502Statsmodels- Exprience - 12 months503AWS- Exprience - Less than 1 year months504Machine learning- Exprience - Less than 1 year months505Sklearn- Exprience - Less than 1 year months506Scipy- Exprience - Less than 1 year months507Keras- Exprience - Less than 1 year monthsCompany Details 508company - Matelabs509description - ML Platform for business professionals, dummies and enthusiasts.51060/A Koramangala 5th block,511Achievements/Tasks behind sukh sagar, Bengaluru,512India                               Developed and deployed auto preprocessing steps of machine learning mainly missing value513treatment, outlier detection, encoding, scaling, feature selection and dimensionality reduction.514Deployed automated classification and regression model.515linkedin.com/in/aditya-rathore-516b4600b146                           Reasearch and deployed the time series forecasting model ARIMA, SARIMAX, Holt-winter and517Prophet.518Worked on meta-feature extracting problem.519github.com/rathorology520Implemented a state of the art research paper on outlier detection for mixed attributes.521company - Matelabs522description - "523Data Science,"Areas of Interest Deep Learning, Control System Design, Programming in-Python, Electric Machinery, Web Development, Analytics Technical Activities q Hindustan Aeronautics Limited, Bangalore - For 4 weeks under the guidance of Mr. Satish, Senior Engineer in the hangar of Mirage 2000 fighter aircraft Technical Skills Programming Matlab, Python and Java, LabView, Python WebFrameWork-Django, Flask, LTSPICE-intermediate Languages and and MIPOWER-intermediate, Github (GitBash), Jupyter Notebook, Xampp, MySQL-Basics, Python Software Packages Interpreters-Anaconda, Python2, Python3, Pycharm, Java IDE-Eclipse Operating Systems Windows, Ubuntu, Debian-Kali Linux Education Details 524January 2019 B.Tech. Electrical and Electronics Engineering  Manipal Institute of Technology525January 2015    DEEKSHA CENTER526January 2013    Little Flower Public School527August 2000    Manipal Academy of Higher528DATA SCIENCE 529 530DATA SCIENCE AND ELECTRICAL ENTHUSIAST531Skill Details 532Data Analysis- Exprience - Less than 1 year months533excel- Exprience - Less than 1 year months534Machine Learning- Exprience - Less than 1 year months535mathematics- Exprience - Less than 1 year months536Python- Exprience - Less than 1 year months537Matlab- Exprience - Less than 1 year months538Electrical Engineering- Exprience - Less than 1 year months539Sql- Exprience - Less than 1 year monthsCompany Details 540company - THEMATHCOMPANY541description - I am currently working with a Casino based operator(name not to be disclosed) in Macau.I need to segment the customers who visit their property based on the value the patrons bring into the company.Basically prove that the segmentation can be done in much better way than the current system which they have with proper numbers to back it up.Henceforth they can implement target marketing strategy to attract their customers who add value to the business."542Data Science,"Skills • R • Python • SAP HANA • Tableau • SAP HANA SQL • SAP HANA PAL • MS SQL • SAP Lumira • C# • Linear Programming • Data Modelling • Advance Analytics • SCM Analytics • Retail Analytics •Social Media Analytics • NLP Education Details 543January 2017 to January 2018 PGDM Business Analytics  Great Lakes Institute of Management & Illinois Institute of Technology544January 2013 Bachelor of Engineering Electronics and Communication Bengaluru, Karnataka New Horizon College of Engineering, Bangalore Visvesvaraya Technological University545Data Science Consultant 546 547Consultant - Deloitte USI548Skill Details 549LINEAR PROGRAMMING- Exprience - 6 months550RETAIL- Exprience - 6 months551RETAIL MARKETING- Exprience - 6 months552SCM- Exprience - 6 months553SQL- Exprience - Less than 1 year months554Deep Learning- Exprience - Less than 1 year months555Machine learning- Exprience - Less than 1 year months556Python- Exprience - Less than 1 year months557R- Exprience - Less than 1 year monthsCompany Details 558company - Deloitte USI559description - The project involved analysing historic deals and coming with insights to optimize future deals.560Role: Was given raw data, carried out end to end analysis and presented insights to client.561Key Responsibilities:562• Extract data from client systems across geographies.563• Understand and build reports in tableau. Infer meaningful insights to optimize prices and find out process blockades.564Technical Environment: R, Tableau.565 566Industry: Cross Industry567Service Area: Cross Industry - Products568Project Name: Handwriting recognition569Consultant: 3 months.570The project involved taking handwritten images and converting them to digital text images by object detection and sentence creation.571Role: I was developing sentence correction functionality.572Key Responsibilities:573• Gather data large enough to capture all English words574• Train LSTM models on words.575Technical Environment: Python.576 577Industry: Finance578Service Area: Financial Services - BI development Project Name: SWIFT579Consultant: 8 months.580The project was to develop an analytics infrastructure on top of SAP S/4, it would user to view581financial reports to respective departments. Reporting also included forecasting expenses.582Role: I was leading the offshore team.583Key Responsibilities:584• Design & Develop data models for reporting.585• Develop ETL for data flow586• Validate various reports.587Technical Environment: SAP HANA, Tableau, SAP AO.588 589Industry: Healthcare Analytics590Service Area: Life Sciences - Product development Project Name: Clinical Healthcare System591Consultant: 2 months.592The project was to develop an analytics infrastructure on top of Argus, it would allow users to query faster and provide advance analytics capabilities.593Role: I was involved from design to deploy phase, performed a lot of data restructuring and built594models for insights.595Key Responsibilities:596• Design & Develop data models for reporting.597• Develop and deploy analytical models.598• Validate various reports.599Technical Environment: Data Modelling, SAP HANA, Tableau, NLP.600 601Industry: FMCG602Service Area: Trade & Promotion603Project Name: Consumption Based Planning for Flowers Foods Consultant; 8 months.604The project involved setting up of CRM and CBP modules.605Role: I was involved in key data decomposition activities and setting up the base for future year606forecast. Over the course of the project I developed various models and carried out key607performance improvements.608Key Responsibilities:609• Design & Develop HANA models for decomposition.610• Develop data flow for forecast.611• Developed various views for reporting of Customer/Sales/Funds.612• Validate various reports in BOBJ.613Technical Environment: Data Modelling, SAP HANA, BOBJ, Time Series Forecasting.614 615Internal Initiative Industry: FMCG616Customer Segmentation and RFM analysis Consultant; 3 months.617The initiative involved setting up of HANA-Python interface and advance analytics on Python. Over the course I had successfully segmented data into five core segments using K-means and carried out RFM analysis in Python. Also developed algorithm to categorize any new customer under the defined buckets.618Technical Environment: Anaconda3, Python3.6, HANA SPS12619 620Industry: Telecom Invoice state detection Consultant; 1 months.621The initiative was to reduce the manual effort in verifying closed and open invoices manually, it622involved development to a decision tree to classify open/closed invoices. This enabled effort623reduction by 60%.624Technical Environment: R, SAP PAL, SAP HANA SPS12625 626Accenture Experience627Industry: Analytics - Cross Industry628In Process Analytics for SAP Senior Developer; 19 months.629Accenture Solutions Pvt. Ltd., India630The project involved development of SAP analytics tool - In Process Analytics (IPA) . My role was to develop database objects and data models to provide operational insights to clients.631Role: I have developed various Finance related KPIs and spearheaded various deployments.632Introduced SAP Predictive analytics to reduce development time and reuse functionalities for KPIs and prepared production planning reports.633Key Responsibilities:634• Involved in information gather phase.635• Designed and implemented SAP HANA data modelling using Attribute View, Analytic View, and636Calculation View.637• Developed various KPI's individually using complex SQL scripts in Calculation views.638• Created procedures in HANA Database.639• Took ownership and developed Dashboard functionality.640• Involved in building data processing algorithms to be executed in R server for cluster analysis.641Technical Environment: R, SAP HANA, T-SQL.642Industry: Cross Industry643Accenture Testing Accelerator for SAP Database Developer; 21 months.644Accenture Solutions Pvt. Ltd., India645Role: I have taken care of all development activities for the ATAS tool and have also completed646various deployments of the product.647Apart from these activities I was also actively involved in maintenance of the database servers648(Production & Quality)649Key Responsibilities:650• Analyzing business requirements, understanding the scope, getting requirements clarified651interacting with business and further transform all requirements to generate attribute652mapping documents and reviewing mapping specification documentation653• Create / Update database objects like tables, views, stored procedures, function, and packages654• Monitored SQL Server Error Logs and Application Logs through SQL Server Agent655• Prepared Data Flow Diagrams, Entity Relationship Diagrams using UML656• Responsible for Designing, developing and Normalization of database tables657• Experience in performance tuning using SQL profiler.658• Involved in QA, UAT, knowledge transfer and support activities659Technical Environment: SQL Server 2008/2014, Visual Studio 2010, Windows Server, Performance660Monitor, SQL Server Profiler, C#, PL-SQL, T-SQL."661Data Science,"Education Details 662 MCA   YMCAUST,  Faridabad,  Haryana663Data Science internship 664 665 666Skill Details 667Data Structure- Exprience - Less than 1 year months668C- Exprience - Less than 1 year months669Data Analysis- Exprience - Less than 1 year months670Python- Exprience - Less than 1 year months671Core Java- Exprience - Less than 1 year months672Database Management- Exprience - Less than 1 year monthsCompany Details 673company - Itechpower674description - "675Data Science,"SKILLS C Basics, IOT, Python, MATLAB, Data Science, Machine Learning, HTML, Microsoft Word, Microsoft Excel, Microsoft Powerpoint. RECOGNITION Academic Secured First place in B.Tech.Education Details 676August 2014 to May 2018 B.Tech.  Ghatkesar, Andhra Pradesh Aurora's Scientific and Technological Institute677June 2012 to May 2014  Secondary Education Warangal, Telangana SR Junior College678Data Science 679 680 681Skill Details 682MS OFFICE- Exprience - Less than 1 year months683C- Exprience - Less than 1 year months684machine learning- Exprience - Less than 1 year months685data science- Exprience - Less than 1 year months686Matlab- Exprience - Less than 1 year monthsCompany Details 687company - 688description - "689Data Science,"Skills • Python • Tableau • Data Visualization • R Studio • Machine Learning • Statistics IABAC Certified Data Scientist with versatile experience over 1+ years in managing business, data science consulting and leading innovation projects, bringing business ideas to working real world solutions. Being a strong advocator of augmented era, where human capabilities are enhanced by machines, Fahed is passionate about bringing business concepts in area of machine learning, AI, robotics etc., to real life solutions.Education Details 690January 2017 B. Tech Computer Science & Engineering Mohali, Punjab Indo Global College of Engineering691Data Science Consultant 692 693Data Science Consultant - Datamites694Skill Details 695MACHINE LEARNING- Exprience - 13 months696PYTHON- Exprience - 24 months697SOLUTIONS- Exprience - 24 months698DATA SCIENCE- Exprience - 24 months699DATA VISUALIZATION- Exprience - 24 months700Tableau- Exprience - 24 monthsCompany Details 701company - Datamites702description - • Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.703• Responsible for loading, extracting and validation of client data.704• Worked on manipulating, cleaning & processing data using python.705• Used Tableau for data visualization.706company - Heretic Solutions Pvt Ltd707description - • Worked closely with business to identify issues and used data to propose solutions for effective decision making.708• Manipulating, cleansing & processing data using Python, Excel and R.709• Analyzed raw data, drawing conclusions & developing recommendations.710• Used machine learning tools and statistical techniques to produce solutions to problems."711Data Science,"Education Details 712 B.Tech   Rayat and Bahra Institute of Engineering and Biotechnology713Data Science 714 715Data Science716Skill Details 717Numpy- Exprience - Less than 1 year months718Machine Learning- Exprience - Less than 1 year months719Tensorflow- Exprience - Less than 1 year months720Scikit- Exprience - Less than 1 year months721Python- Exprience - Less than 1 year months722GCP- Exprience - Less than 1 year months723Pandas- Exprience - Less than 1 year months724Neural Network- Exprience - Less than 1 year monthsCompany Details 725company - Wipro726description - Bhawana Aggarwal727E-Mail:bhawana.chd@gmail.com728Phone: 09876971076729VVersatile, high-energy professional targeting challenging assignments in Machine730PROFILE SUMMARY731▪ An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine732Learning, Deep Learning, Data Science, Python, Software Development.733▪ Skilled in managing end-to-end development and software products / projects from inception, requirement734specs, planning, designing, implementation, configuration and documentation.735▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network,736NLP, GCP.737▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks.738▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off,739Support vector Machine(SVM),Logistic Regression, Neural networks.740▪ Have knowledge on unsupervised, Supervised and reinforcement data.741▪ Programming experience in relational platforms like MySQL,Oracle.742▪ Have knowledge on Some programming language like C++,Java.743▪ Experience in cloud based environment like Google Cloud.744▪ Working on different Operating System like Linux, Ubuntu, Windows.745▪ Good interpersonal and communication skills.746▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term747perspective748▪ Flexibility and an open attitude to change.749▪ Ability to create, define and own frameworks with a strong emphasis on code reusability.750TECHNICAL SKILLS751Programming Languages Python, C752Libraries Seaborn, Numpy, Pandas, Cufflinks, Matplotlib753Algorithms754KNN, Decision Tree, Linear regression, Logistic Regression, Neural Networks, K means clustering,755Tensorflow, SVM756Databases SQL, Oracle757Operating Systems Linux, Window758Development Environments NetBeans, Notebooks, Sublime759Ticketing tools Service Now, Remedy760Education761UG Education:762B.Tech (Computer Science) from Rayat and Bahra Institute of Engineering and Biotechnology passed with 78.4%in7632016.764Schooling:765XII in 2012 from Moti Ram Arya Sr. Secondary School(Passed with 78.4%)766X in 2010 from Valley Public School (Passed with 9.4 CGPA)767WORK EXPERINCE768Title : Wipro Neural Intelligence Platform769Team Size : 5770Brief: Wipro’s Neural Intelligence Platform harnesses the power of automation and artificial intelligence771technologies—natural language processing (NLP), cognitive, machine learning, and analytics. The platform772comprises three layers: a data engagement platform that can easily access and manage multiple structured and773unstructured data sources; an “intent assessment and reasoning” engine that includes sentiment and predictive774analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed775automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning,776NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be777eliminated.778Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like779dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU api’s and machine learning using780Tensor flow for further learning of new entities.781Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn782classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best783suited response and make the system efficient.784NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills,785Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities786using Keras TensorFlow framework.787OTHER PROJECTS788Title : Diabetes Detection789Brief : Developed the software which can detect whether the person is suffering from Diabetes or not and got the third790prize in it.791TRAINING AND CERTIFICATIONS792Title: Python Training, Machine Learning, Data Science, Deep Learning793Organization: Udemy, Coursera (Machine Learning, Deep Learning)794Personal Profile795Father’s Name :Mr. Tirlok Aggarwal796Language Known : English & Hindi797Marital Status :Single798Date of Birth(Gender):1993-12-20(YYYY-MM-DD) (F)799company - Wipro800description - Developing programs in Python.801company - Wipro802description - Title : Wipro Neural Intelligence Platform803Team Size : 5804Brief: Wipro’s Neural Intelligence Platform harnesses the power of automation and artificial intelligence805technologies—natural language processing (NLP), cognitive, machine learning, and analytics. The platform806comprises three layers: a data engagement platform that can easily access and manage multiple structured and807unstructured data sources; an “intent assessment and reasoning” engine that includes sentiment and predictive808analytics; and a deep machine learning engine that can sense, act, and learn over time. The project entailed809automating responses to user queries at the earliest. The Monster Bot using the power of Deep Machine Learning,810NLP to handle such queries. User can see the how their queries can be answered quickly like allL1 activities can be811eliminated.812Entity Extractor -> This involves text extraction and NLP for fetching out important information from the text like813dates, names, places, contact numbers etc. This involves Regex, Bluemix NLU api’s and machine learning using814Tensor flow for further learning of new entities.815Classifier ->This involves the classifications of classes, training of dataset and predicting the output using the SKLearn816classifier (MNB, SVM, SGD as Classifier) and SGD for the optimization to map the user queries with the best817suited response and make the system efficient.818NER: A Deep Learning NER Model is trained to extract the entities from the text. Entities like Roles, Skills,819Organizations can be extracted from raw text. RNN(LSTM) Bidirectional model is trained for extracting such entities820using Keras TensorFlow framework.821company - Wipro Technologies822description - An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine823Learning, Deep Learning, Data Science, Python, Software Development.824▪ Skilled in managing end-to-end development and software products / projects from inception, requirement825specs, planning, designing, implementation, configuration and documentation.826▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network,827NLP, GCP.828▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks.829▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off,830Support vector Machine(SVM),Logistic Regression, Neural networks.831▪ Have knowledge on unsupervised, Supervised and reinforcement data.832▪ Programming experience in relational platforms like MySQL,Oracle.833▪ Have knowledge on Some programming language like C++,Java.834▪ Experience in cloud based environment like Google Cloud.835▪ Working on different Operating System like Linux, Ubuntu, Windows.836▪ Good interpersonal and communication skills.837▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term838perspective839▪ Flexibility and an open attitude to change.840▪ Ability to create, define and own frameworks with a strong emphasis on code reusability."841Data Science,"Personal Skills ➢ Ability to quickly grasp technical aspects and willingness to learn ➢ High energy levels & Result oriented. Education Details 842January 2018 Master of Engineering Computer Technology & Application Bhopal, Madhya Pradesh Truba Institute of Engineering & Information Technology843January 2010 B.E. computer science Bhopal, Madhya Pradesh RKDF Institute of Science and Technology College of Engineering844January 2006 Polytechnic Information Technology Vidisha, Madhya Pradesh SATI Engineering College in Vidisha845January 2003 M.tech Thesis Detail  BMCH School in Ganj basoda846Data science 847 848I have six month experience in Data Science. Key Skills: - Experience in Machine Learning, Deep Leaning, NLP, Python, SQL, Web Scraping Good knowledge in computer subjects and ability to update849Skill Details 850Experience in Machine Learning, Deep Learning, NLP, Python, SQL, Web Crawling, HTML,CSS.- Exprience - Less than 1 year monthsCompany Details 851company - RNT.AI Technology Solution852description - Text classification using Machine learning Algorithms with python.853Practical knowledge of Deep learning algorithms such as  Recurrent Neural Networks(RNN).854Develop custom data models and algorithms to apply to dataset855Experience with Python packages like Pandas, Scikit-learn, Tensor Flow, Numpy, Matplotliv, NLTK.856Comfort with SQL,  MYSQL857Sentiment analysis.858 Apply leave Dataset using classification technique like Tf--idf , LSA with cosine similarity using Machine learning Algorithms.859Web crawling using Selenium web driver and Beautiful Soup with python.860company - Life Insurance Corporation of India Bhopal861description - ü Explaining policy features and the benefits862ü Updated knowledge of life insurance products and shared with customers"863Data Science,"Expertise − Data and Quantitative Analysis − Decision Analytics − Predictive Modeling − Data-Driven Personalization − KPI Dashboards − Big Data Queries and Interpretation − Data Mining and Visualization Tools − Machine Learning Algorithms − Business Intelligence (BI) − Research, Reports and Forecasts Education Details 864 PGP in Data Science  Mumbai, Maharashtra Aegis School of data science & Business865 B.E. in Electronics & Communication Electronics & Communication Indore, Madhya Pradesh IES IPS Academy866Data Scientist 867 868Data Scientist with PR Canada869Skill Details 870Algorithms- Exprience - 6 months871BI- Exprience - 6 months872Business Intelligence- Exprience - 6 months873Machine Learning- Exprience - 24 months874Visualization- Exprience - 24 months875spark- Exprience - 24 months876python- Exprience - 36 months877tableau- Exprience - 36 months878Data Analysis- Exprience - 24 monthsCompany Details 879company - Aegis school of Data Science & Business880description - Mostly working on industry project for providing solution along with Teaching Appointments: Teach undergraduate and graduate-level courses in Spark and Machine Learning as an adjunct faculty member at Aegis School of Data Science, Mumbai (2017 to Present)881company - Aegis school of Data & Business882description - Data Science Intern, Nov 2015 to Jan 2016883 884Furnish executive leadership team with insights, analytics, reports and recommendations enabling effective strategic planning across all business units, distribution channels and product lines.885 886➔ Chat Bot using AWS LEX and Tensor flow  Python887The goal of project creates a chat bot for an academic institution or university to handle queries related courses offered by that institute. The objective of this task is to reduce human efforts as well as reduce man made errors. Even by this companies handle their client 24x7. In this case companies are academic institutions and clients are participants or students.888➔ Web scraping using Selenium web driver   Python889The task is to scrap the data from the online messaging portal in a text format and have to find the pattern form it.890➔ Data Visualization and Data insights   Hadoop Eco System, Hive, PySpark, QlikSense891The goal of this project is to build a Business Solutions to a Internet Service Provider Company, like handling data which is generated per day basis, for that we have to visualize that data and find the usage pattern form it and have a generate a reports.892➔ Image Based Fraud Detection   Microsoft Face API, PySpark, Open CV893The main goal of project is Recognize similarity for a face to given Database images. Face recognition is the recognizing a special face from set of different faces. Face is extracted and then compared with the database Image if that Image recognized then the person already applied for loan from somewhere else and now hiding his or her identity, this is how we are going to prevent the frauds in the initial stage itself.894➔ Churn Analysis for Internet Service Provider   R, Python, Machine Learning, Hadoop895The objective is to identify the customer who is likely to churn in a given period of time; we have to pretend the customer giving incentive offers.896➔ Sentiment Analysis   Python, NLP, Apache Spark service in IBM Bluemix.897This project is highly emphasis on tweets from Twitter data were taken for mobile networks service provider to do a sentiment analysis and analyze whether the expressed opinion was positive, negative or neutral, capture the emotions of the tweets and comparative analysis.898 899Quantifiable Results:900− Mentored 7-12 Data Science Enthusiast each year that have all since gone on to graduate school in Data Science and Business Analytics.901− Reviewed and evaluated 20-40 Research Papers on Data Science for one of the largest Data Science Conference called Data Science Congress by Aegis School of Business Mumbai.902− Heading a solution providing organization called Data Science Delivered into Aegis school of Data Science Mumbai and managed 4-5 live projects using Data Science techniques.903− Working for some social cause with the help of Data Science for Social Goods Committee, where our team developed a product called ""Let's find a missing Child"" for helping society.904company - IBM India pvt ltd905description - Mostly worked on blumix and IBM Watson for Data science."906Data Science,"Skills * Programming Languages: Python (pandas, numpy, scipy, scikit-learn, matplotlib), Sql, Java, JavaScript/JQuery. * Machine learning: Regression, SVM, Naïve Bayes, KNN, Random Forest, Decision Trees, Boosting techniques, Cluster Analysis, Word Embedding, Sentiment Analysis, Natural Language processing, Dimensionality reduction, Topic Modelling (LDA, NMF), PCA & Neural Nets. * Database Visualizations: Mysql, SqlServer, Cassandra, Hbase, ElasticSearch D3.js, DC.js, Plotly, kibana, matplotlib, ggplot, Tableau. * Others: Regular Expression, HTML, CSS, Angular 6, Logstash, Kafka, Python Flask, Git, Docker, computer vision - Open CV and understanding of Deep learning.Education Details 907 908Data Science Assurance Associate 909 910Data Science Assurance Associate - Ernst & Young LLP911Skill Details 912JAVASCRIPT- Exprience - 24 months913jQuery- Exprience - 24 months914Python- Exprience - 24 monthsCompany Details 915company - Ernst & Young LLP916description - Fraud Investigations and Dispute Services   Assurance917TECHNOLOGY ASSISTED REVIEW918TAR (Technology Assisted Review) assists in accelerating the review process and run analytics and generate reports.919* Core member of a team helped in developing automated review platform tool from scratch for assisting E discovery domain, this tool implements predictive coding and topic modelling by automating reviews, resulting in reduced labor costs and time spent during the lawyers review.920* Understand the end to end flow of the solution, doing research and development for classification models, predictive analysis and mining of the information present in text data. Worked on analyzing the outputs and precision monitoring for the entire tool.921* TAR assists in predictive coding, topic modelling from the evidence by following EY standards. Developed the classifier models in order to identify ""red flags"" and fraud-related issues.922 923Tools & Technologies: Python, scikit-learn, tfidf, word2vec, doc2vec, cosine similarity, Naïve Bayes, LDA, NMF for topic modelling, Vader and text blob for sentiment analysis. Matplot lib, Tableau dashboard for reporting.924 925MULTIPLE DATA SCIENCE AND ANALYTIC PROJECTS (USA CLIENTS)926TEXT ANALYTICS - MOTOR VEHICLE CUSTOMER REVIEW DATA * Received customer feedback survey data for past one year. Performed sentiment (Positive, Negative & Neutral) and time series analysis on customer comments across all 4 categories.927* Created heat map of terms by survey category based on frequency of words * Extracted Positive and Negative words across all the Survey categories and plotted Word cloud.928* Created customized tableau dashboards for effective reporting and visualizations.929CHATBOT * Developed a user friendly chatbot for one of our Products which handle simple questions about hours of operation, reservation options and so on.930* This chat bot serves entire product related questions. Giving overview of tool via QA platform and also give recommendation responses so that user question to build chain of relevant answer.931* This too has intelligence to build the pipeline of questions as per user requirement and asks the relevant /recommended questions.932 933Tools & Technologies: Python, Natural language processing, NLTK, spacy, topic modelling, Sentiment analysis, Word Embedding, scikit-learn, JavaScript/JQuery, SqlServer934 935INFORMATION GOVERNANCE936Organizations to make informed decisions about all of the information they store. The integrated Information Governance portfolio synthesizes intelligence across unstructured data sources and facilitates action to ensure organizations are best positioned to counter information risk.937* Scan data from multiple sources of formats and parse different file formats, extract Meta data information, push results for indexing elastic search and created customized, interactive dashboards using kibana.938* Preforming ROT Analysis on the data which give information of data which helps identify content that is either Redundant, Outdated, or Trivial.939* Preforming full-text search analysis on elastic search with predefined methods which can tag as (PII) personally identifiable information (social security numbers, addresses, names, etc.) which frequently targeted during cyber-attacks.940Tools & Technologies: Python, Flask, Elastic Search, Kibana941 942FRAUD ANALYTIC PLATFORM943Fraud Analytics and investigative platform to review all red flag cases.944• FAP is a Fraud Analytics and investigative platform with inbuilt case manager and suite of Analytics for various ERP systems.945* It can be used by clients to interrogate their Accounting systems for identifying the anomalies which can be indicators of fraud by running advanced analytics946Tools & Technologies: HTML, JavaScript, SqlServer, JQuery, CSS, Bootstrap, Node.js, D3.js, DC.js"947Data Science,"Education Details 948May 2013 to May 2017 B.E   UIT-RGPV949Data Scientist 950 951Data Scientist - Matelabs952Skill Details 953Python- Exprience - Less than 1 year months954Statsmodels- Exprience - 12 months955AWS- Exprience - Less than 1 year months956Machine learning- Exprience - Less than 1 year months957Sklearn- Exprience - Less than 1 year months958Scipy- Exprience - Less than 1 year months959Keras- Exprience - Less than 1 year monthsCompany Details 960company - Matelabs961description - ML Platform for business professionals, dummies and enthusiasts.96260/A Koramangala 5th block,963Achievements/Tasks behind sukh sagar, Bengaluru,964India                               Developed and deployed auto preprocessing steps of machine learning mainly missing value965treatment, outlier detection, encoding, scaling, feature selection and dimensionality reduction.966Deployed automated classification and regression model.967linkedin.com/in/aditya-rathore-968b4600b146                           Reasearch and deployed the time series forecasting model ARIMA, SARIMAX, Holt-winter and969Prophet.970Worked on meta-feature extracting problem.971github.com/rathorology972Implemented a state of the art research paper on outlier detection for mixed attributes.973company - Matelabs974description - "975Data Science,"Areas of Interest Deep Learning, Control System Design, Programming in-Python, Electric Machinery, Web Development, Analytics Technical Activities q Hindustan Aeronautics Limited, Bangalore - For 4 weeks under the guidance of Mr. Satish, Senior Engineer in the hangar of Mirage 2000 fighter aircraft Technical Skills Programming Matlab, Python and Java, LabView, Python WebFrameWork-Django, Flask, LTSPICE-intermediate Languages and and MIPOWER-intermediate, Github (GitBash), Jupyter Notebook, Xampp, MySQL-Basics, Python Software Packages Interpreters-Anaconda, Python2, Python3, Pycharm, Java IDE-Eclipse Operating Systems Windows, Ubuntu, Debian-Kali Linux Education Details 976January 2019 B.Tech. Electrical and Electronics Engineering  Manipal Institute of Technology977January 2015    DEEKSHA CENTER978January 2013    Little Flower Public School979August 2000    Manipal Academy of Higher980DATA SCIENCE 981 982DATA SCIENCE AND ELECTRICAL ENTHUSIAST983Skill Details 984Data Analysis- Exprience - Less than 1 year months985excel- Exprience - Less than 1 year months986Machine Learning- Exprience - Less than 1 year months987mathematics- Exprience - Less than 1 year months988Python- Exprience - Less than 1 year months989Matlab- Exprience - Less than 1 year months990Electrical Engineering- Exprience - Less than 1 year months991Sql- Exprience - Less than 1 year monthsCompany Details 992company - THEMATHCOMPANY993description - I am currently working with a Casino based operator(name not to be disclosed) in Macau.I need to segment the customers who visit their property based on the value the patrons bring into the company.Basically prove that the segmentation can be done in much better way than the current system which they have with proper numbers to back it up.Henceforth they can implement target marketing strategy to attract their customers who add value to the business."994Data Science,"Skills • R • Python • SAP HANA • Tableau • SAP HANA SQL • SAP HANA PAL • MS SQL • SAP Lumira • C# • Linear Programming • Data Modelling • Advance Analytics • SCM Analytics • Retail Analytics •Social Media Analytics • NLP Education Details 995January 2017 to January 2018 PGDM Business Analytics  Great Lakes Institute of Management & Illinois Institute of Technology996January 2013 Bachelor of Engineering Electronics and Communication Bengaluru, Karnataka New Horizon College of Engineering, Bangalore Visvesvaraya Technological University997Data Science Consultant 998 999Consultant - Deloitte USI1000Skill Details 1001LINEAR PROGRAMMING- Exprience - 6 months1002RETAIL- Exprience - 6 months1003RETAIL MARKETING- Exprience - 6 months1004SCM- Exprience - 6 months1005SQL- Exprience - Less than 1 year months1006Deep Learning- Exprience - Less than 1 year months1007Machine learning- Exprience - Less than 1 year months1008Python- Exprience - Less than 1 year months1009R- Exprience - Less than 1 year monthsCompany Details 1010company - Deloitte USI1011description - The project involved analysing historic deals and coming with insights to optimize future deals.1012Role: Was given raw data, carried out end to end analysis and presented insights to client.1013Key Responsibilities:1014• Extract data from client systems across geographies.1015• Understand and build reports in tableau. Infer meaningful insights to optimize prices and find out process blockades.1016Technical Environment: R, Tableau.1017 1018Industry: Cross Industry1019Service Area: Cross Industry - Products1020Project Name: Handwriting recognition1021Consultant: 3 months.1022The project involved taking handwritten images and converting them to digital text images by object detection and sentence creation.1023Role: I was developing sentence correction functionality.1024Key Responsibilities:1025• Gather data large enough to capture all English words1026• Train LSTM models on words.1027Technical Environment: Python.1028 1029Industry: Finance1030Service Area: Financial Services - BI development Project Name: SWIFT1031Consultant: 8 months.1032The project was to develop an analytics infrastructure on top of SAP S/4, it would user to view1033financial reports to respective departments. Reporting also included forecasting expenses.1034Role: I was leading the offshore team.1035Key Responsibilities:1036• Design & Develop data models for reporting.1037• Develop ETL for data flow1038• Validate various reports.1039Technical Environment: SAP HANA, Tableau, SAP AO.1040 1041Industry: Healthcare Analytics1042Service Area: Life Sciences - Product development Project Name: Clinical Healthcare System1043Consultant: 2 months.1044The project was to develop an analytics infrastructure on top of Argus, it would allow users to query faster and provide advance analytics capabilities.1045Role: I was involved from design to deploy phase, performed a lot of data restructuring and built1046models for insights.1047Key Responsibilities:1048• Design & Develop data models for reporting.1049• Develop and deploy analytical models.1050• Validate various reports.1051Technical Environment: Data Modelling, SAP HANA, Tableau, NLP.1052 1053Industry: FMCG1054Service Area: Trade & Promotion1055Project Name: Consumption Based Planning for Flowers Foods Consultant; 8 months.1056The project involved setting up of CRM and CBP modules.1057Role: I was involved in key data decomposition activities and setting up the base for future year1058forecast. Over the course of the project I developed various models and carried out key1059performance improvements.1060Key Responsibilities:1061• Design & Develop HANA models for decomposition.1062• Develop data flow for forecast.1063• Developed various views for reporting of Customer/Sales/Funds.1064• Validate various reports in BOBJ.1065Technical Environment: Data Modelling, SAP HANA, BOBJ, Time Series Forecasting.1066 1067Internal Initiative Industry: FMCG1068Customer Segmentation and RFM analysis Consultant; 3 months.1069The initiative involved setting up of HANA-Python interface and advance analytics on Python. Over the course I had successfully segmented data into five core segments using K-means and carried out RFM analysis in Python. Also developed algorithm to categorize any new customer under the defined buckets.1070Technical Environment: Anaconda3, Python3.6, HANA SPS121071 1072Industry: Telecom Invoice state detection Consultant; 1 months.1073The initiative was to reduce the manual effort in verifying closed and open invoices manually, it1074involved development to a decision tree to classify open/closed invoices. This enabled effort1075reduction by 60%.1076Technical Environment: R, SAP PAL, SAP HANA SPS121077 1078Accenture Experience1079Industry: Analytics - Cross Industry1080In Process Analytics for SAP Senior Developer; 19 months.1081Accenture Solutions Pvt. Ltd., India1082The project involved development of SAP analytics tool - In Process Analytics (IPA) . My role was to develop database objects and data models to provide operational insights to clients.1083Role: I have developed various Finance related KPIs and spearheaded various deployments.1084Introduced SAP Predictive analytics to reduce development time and reuse functionalities for KPIs and prepared production planning reports.1085Key Responsibilities:1086• Involved in information gather phase.1087• Designed and implemented SAP HANA data modelling using Attribute View, Analytic View, and1088Calculation View.1089• Developed various KPI's individually using complex SQL scripts in Calculation views.1090• Created procedures in HANA Database.1091• Took ownership and developed Dashboard functionality.1092• Involved in building data processing algorithms to be executed in R server for cluster analysis.1093Technical Environment: R, SAP HANA, T-SQL.1094Industry: Cross Industry1095Accenture Testing Accelerator for SAP Database Developer; 21 months.1096Accenture Solutions Pvt. Ltd., India1097Role: I have taken care of all development activities for the ATAS tool and have also completed1098various deployments of the product.1099Apart from these activities I was also actively involved in maintenance of the database servers1100(Production & Quality)1101Key Responsibilities:1102• Analyzing business requirements, understanding the scope, getting requirements clarified1103interacting with business and further transform all requirements to generate attribute1104mapping documents and reviewing mapping specification documentation1105• Create / Update database objects like tables, views, stored procedures, function, and packages1106• Monitored SQL Server Error Logs and Application Logs through SQL Server Agent1107• Prepared Data Flow Diagrams, Entity Relationship Diagrams using UML1108• Responsible for Designing, developing and Normalization of database tables1109• Experience in performance tuning using SQL profiler.1110• Involved in QA, UAT, knowledge transfer and support activities1111Technical Environment: SQL Server 2008/2014, Visual Studio 2010, Windows Server, Performance1112Monitor, SQL Server Profiler, C#, PL-SQL, T-SQL."1113Data Science,"Education Details 1114 MCA   YMCAUST,  Faridabad,  Haryana1115Data Science internship 1116 1117 1118Skill Details 1119Data Structure- Exprience - Less than 1 year months1120C- Exprience - Less than 1 year months1121Data Analysis- Exprience - Less than 1 year months1122Python- Exprience - Less than 1 year months1123Core Java- Exprience - Less than 1 year months1124Database Management- Exprience - Less than 1 year monthsCompany Details 1125company - Itechpower1126description - "1127Data Science,"SKILLS C Basics, IOT, Python, MATLAB, Data Science, Machine Learning, HTML, Microsoft Word, Microsoft Excel, Microsoft Powerpoint. RECOGNITION Academic Secured First place in B.Tech.Education Details 1128August 2014 to May 2018 B.Tech.  Ghatkesar, Andhra Pradesh Aurora's Scientific and Technological Institute1129June 2012 to May 2014  Secondary Education Warangal, Telangana SR Junior College1130Data Science 1131 1132 1133Skill Details 1134MS OFFICE- Exprience - Less than 1 year months1135C- Exprience - Less than 1 year months1136machine learning- Exprience - Less than 1 year months1137data science- Exprience - Less than 1 year months1138Matlab- Exprience - Less than 1 year monthsCompany Details 1139company - 1140description - "1141Data Science,"Skills • Python • Tableau • Data Visualization • R Studio • Machine Learning • Statistics IABAC Certified Data Scientist with versatile experience over 1+ years in managing business, data science consulting and leading innovation projects, bringing business ideas to working real world solutions. Being a strong advocator of augmented era, where human capabilities are enhanced by machines, Fahed is passionate about bringing business concepts in area of machine learning, AI, robotics etc., to real life solutions.Education Details 1142January 2017 B. Tech Computer Science & Engineering Mohali, Punjab Indo Global College of Engineering1143Data Science Consultant 1144 1145Data Science Consultant - Datamites1146Skill Details 1147MACHINE LEARNING- Exprience - 13 months1148PYTHON- Exprience - 24 months1149SOLUTIONS- Exprience - 24 months1150DATA SCIENCE- Exprience - 24 months1151DATA VISUALIZATION- Exprience - 24 months1152Tableau- Exprience - 24 monthsCompany Details 1153company - Datamites1154description - • Analyzed and processed complex data sets using advanced querying, visualization and analytics tools.1155• Responsible for loading, extracting and validation of client data.1156• Worked on manipulating, cleaning & processing data using python.1157• Used Tableau for data visualization.1158company - Heretic Solutions Pvt Ltd1159description - • Worked closely with business to identify issues and used data to propose solutions for effective decision making.1160• Manipulating, cleansing & processing data using Python, Excel and R.1161• Analyzed raw data, drawing conclusions & developing recommendations.1162• Used machine learning tools and statistical techniques to produce solutions to problems."1163Data Science,"Education Details 1164 B.Tech   Rayat and Bahra Institute of Engineering and Biotechnology1165Data Science 1166 1167Data Science1168Skill Details 1169Numpy- Exprience - Less than 1 year months1170Machine Learning- Exprience - Less than 1 year months1171Tensorflow- Exprience - Less than 1 year months1172Scikit- Exprience - Less than 1 year months1173Python- Exprience - Less than 1 year months1174GCP- Exprience - Less than 1 year months1175Pandas- Exprience - Less than 1 year months1176Neural Network- Exprience - Less than 1 year monthsCompany Details 1177company - Wipro1178description - Bhawana Aggarwal1179E-Mail:bhawana.chd@gmail.com1180Phone: 098769710761181VVersatile, high-energy professional targeting challenging assignments in Machine1182PROFILE SUMMARY1183▪ An IT professional with knowledge and experience of 2 years in Wipro Technologies in Machine1184Learning, Deep Learning, Data Science, Python, Software Development.1185▪ Skilled in managing end-to-end development and software products / projects from inception, requirement1186specs, planning, designing, implementation, configuration and documentation.1187▪ Knowledge on Python , Machine Learning, Deep Learning, data Science, Algorithms, Neural Network,1188NLP, GCP.1189▪ Knowledge on Python Libraries like Numpy, Pandas, Seaborn , Matplotlib, Cufflinks.1190▪ Knowledge on different algorithms in Machine learning like KNN, Decision Tree, Bias variance Trade off,1191Support vector Machine(SVM),Logistic Regression, Neural networks.1192▪ Have knowledge on unsupervised, Supervised and reinforcement data.1193▪ Programming experience in relational platforms like MySQL,Oracle.1194▪ Have knowledge on Some programming language like C++,Java.1195▪ Experience in cloud based environment like Google Cloud.1196▪ Working on different Operating System like Linux, Ubuntu, Windows.1197▪ Good interpersonal and communication skills.1198▪ Problem solving skills with the ability to think laterally, and to think with a medium term and long term1199perspective1200▪ Flexibility and an open attitude to change.

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