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Upskilling myself | Learning the art of Data Science
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Upskilling myself | Learning the art of Data Science
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  • Eli Lilly and Company
  • Pune

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varun6299/README.md

Hi, I'm Varun Sagar Theegala. and I currently working at Eli Lilly and Company as an Intern in the Commercial Analytics division at LCCI, Bangalore. I have completed a PGP Program in Data Science and Engineering offered by Great Lakes Institute of Management in collaboration with Great Learning and graduated in 2020 with a Bachelor's Degree in Business Administration from Madras Christian College.

My current areas of interest are Data Science and Machine Learning. Technologies and Tools that I'm familiar with are Python Programming using Jupyter Notebook (for Data Science), SQL using MySQL Workbench, MS Office (Excel, Word & Powerpoint), SPSS and Tableau. Also, familiar with basics of HTML and CSS

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  1. Backorder-Predictor Backorder-Predictor Public

    An end-to-end E-Commerce backorder solution was created as a part of the Data Science Project Internship with iNeuron.ai.

    Jupyter Notebook 1

  2. OneDeal---Automobile-E-commerce-web-application OneDeal---Automobile-E-commerce-web-application Public

    A project created using Python, Machine Learning (Regression Model Building), HTML, CSS and deployed using Flask and Heroku.

    Jupyter Notebook 1

  3. Predicting-the-Existence-of-a-Startup Predicting-the-Existence-of-a-Startup Public

    A Machine Learning project to build a classification model to predict the survival or acquisition of a Startup.

    Jupyter Notebook

  4. Trip-Advisor-Hotel-Review-Analysis-Sentiment-Prediction Trip-Advisor-Hotel-Review-Analysis-Sentiment-Prediction Public

    A NLP cum Machine Learning Project which involves building a predictive Classification model and Review Analysis

    Jupyter Notebook

  5. Cross-Selling-Vehicle-Insurance Cross-Selling-Vehicle-Insurance Public

    Using Python, building a Supervised Classification model to identify health insurance owners who could also be prospective vehicle insurance buyers

    Jupyter Notebook 1

  6. Global-Superstore-Sales-Customer-Clustering-Dashboard- Global-Superstore-Sales-Customer-Clustering-Dashboard- Public

    A project involving integration of Python, MySQL and Tableau in order to identify customer segments and create dashboards to analyze sales and customers (including new clusters)

    Jupyter Notebook 1