Tanaya jan 17 Resume
- 1. Tanaya Kavathekar 202.290.5772 ♦Washington, DC ♦ tanaya_10@gwu.edu ♦ github.com/Tann10 ♦ Linkedin.com/in/tanayakavathekar SUMMARY Data Scientist with 3 years of experience analyzing, driving insights, designing, and implementing innovative solutions for Fortune 500 clients Adept in big data tools, scaling analytical solutions in production using parallelization, test-driven development, and object-orientated programming EDUCATION The George Washington University Washington, DC Master of Science, Data Science, (GPA: 4.00) Anticipated May 2021 Relatedcoursework: Machine Learning, Natural LanguageProcessing, Neural Networks, High Performance Computing University of Pune Pune, India Bachelorin Engineering, Computer Science graduated with Distinction May 2016 TECHNICAL SKILLS Programming: Python, R, Spark, Hive, SQL, Django, Shell, Unit Testing, Java, C, C++ Statistical Techniques: TimeSeries Forecasting, Supervised Learning, Unsupervised Learning, Deep Learning Software: Excel, Git, Microsoft Azure, Microsoft Office Suite, JIRA, Jenkins, AWS, Docker, Keras, Tensorflow, Pytorch Data Visualization: PowerBI, Tableau, R & Python Visualization Packages PROFESSIONAL EXPERIENCE Mu Sigma Business Solutions Pvt. Ltd. Bangalore, India Decision Scientist Sep 2016 – Jul 2019 Fortune 100, US-based Manufacturer, Supply Chain & Data Science Team Demand Forecast Engineered data pipelines to pull ~2TB data from varied sources in Azure Data Lake to analyze trends and patterns to build robust volume forecast framework Improved accuracy of demand forecast by factor of 8% and achieved 15% improvement in case fill rate for supply chain division by building ensemble time-series models Fortune 200, UK-based RetailChain, Data Science & Technology Team Sales Forecast & Diagnostic Engine Increased the forecast accuracy of sales value and volume by 5.6% consumed by Finance Team, benchmarked against the best legacy system, by implementing ARIMA with a customized seasonal adjustment Engineered parallel processing for model building, scoring, and forecasting for ~2500 stores and ~3600 product groups constituting ~1 TB of data using Hadoop andPySpark technology Instituted automated insight tool to monitor forecast coverage and reliability which established the use of centralized forecast system Demand Transfer on the Delisting of Products Lifted profit margin by 1.3%by predicting demand transfers for delisting products and translating into different KPIs, by building a union of ensemble models (time-series + randomforest) and business heuristics (22k models) Designed User-Interface in Django to drive consumption of the analysis across the organization to enable data- driven decision making PROJECTS Predicting Taxi Tip Amount (Link) Oct 2019 Implemented multiple regression models, regularization techniques, and decision trees to predict tip amount for New York Taxi cabs with an accuracy of ~90% using R Popularity Level Classification (Link) Dec 2019 Built Grid Search with 7 different algorithms to classify YouTube videos based on the number of views with an accuracy of 83%, in order to efficiently plan advertisement strategies using Python LEADERSHIP AND ACCOMPLISHMENTS International Student Association, GWU, Associate Director Sep 2019 – Present Supported international graduatestudents by identifying careerand academic needs Liaised with departments to gain support for planned events that enhanced the international student experience Bhumi NGO, Program Coordinator and Instructor: Designed and executed primary mathematics curriculum in local government schools Jul 2018 – Jul 2019 Publication: Creating Cloud for Virtual Lab (Research paper), Cyber Times Journal, Nov 2015 Publication: Creating Cloud for Virtual Lab (Implementation paper), IARJSET, May 2016 Received3 Mu Sigma Spot Awards: Creative Problem-Solving Ability; Independently Working on Multiple APIs; Thought Leadership and Diverse Technical Capability