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Sagar Garg

Research | Machine Learning | Analytics | Management | Start-ups

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Intro
Faridabad, India
Studied Computational Science and Engineering at Technical University of Munich, Germany
Studied Chemical Engineering at Indian Institute of Technology Guwahati
Joined April 7, 2021

Skills

Languages

English
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Native or Bilingual
Hindi
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Native or Bilingual
German
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Intermediate
About
I am a masters graduate in Computational Sciences from TU Munich, Germany and a Bachelor’s graduate in Chemical Engineering from Indian Institute of Technology Guwahati, India. I have worked across Analytics, Research and Machine Learning domains with 3 top Indian startups, and 3 top research institutes in India and Germany. I have professional, academic and research experiences in different stages of data science - ranging from querying, exploration, analytics, machine learning & statistical modelling, visualization and finally driving business decisions. I also understand the business context of the problem, having worked in fast-paced Startup environments where I've also contributed to Operations, Product and Tech teams.
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Experience
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Paytm Mall (e-commerce)
Apr 2018 – Sep 2018
Noida, India
Business Analyst
Offline Business and Category Growth- Electronics Data Cleansing: Standardized unstructured data: 100,000+ texts, images, links, improving product display page. Built data quality culture from first entry point till top management. (teaching juniors, building Analyst group) 
 Project Lead: End-to-end management of 2 projects- Catalog improvement, Supply-chain optimization. Worked 
with teams from legal, finances, product, tech and business to ensure high-quality outputs under strict deadlines. 

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Indian Institute of Sciences
Sep 2017 – Mar 2018
Bengaluru, India
Project Assistant
Guide: Prof. J. Srinivasan, Chairman- Divecha Centre for Climate Change Work: Satellite Data Processing to estimate carbon stocks in forests
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OlaCabs (ridesharing)
Jul 2016 – Aug 2017
Gurugram, India
Associate Program Manager
Growth and Profit: Built & managed end-to-end analytics: Demand, Supply, Finance. (Usually 1 analyst/category. I managed 3). Performed best among Pan-India teams. Ranks: Bikes-1, Rentals-1, Outstations-2 Part of core decision team, played crucial part in improve city’s bottom-line ENTR profitability from -40% to -1%. Data Automation: Automated all daily data requirements using Scheduled Python and R scripts, saving 15 man hours per week for 7 analysts. Beta-tested company’s new open-source Analytics web platform. Product Improvements: Implemented automated customer geo-based push notifications, improved cab discoverability radius algorithm, extended City Serviceable Limits. Ideas adopted by Pan-India teams
Education
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Technical University of Munich, Germany
Oct 2018 – Mar 2021
Masters, Computational Science and Engineering
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Indian Institute of Technology Guwahati
Jul 2012 – Mar 2016
B.Tech, Chemical Engineering