Kashish Jain

Kashish Jain

Hardware Engineer

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location of Kashish JainUnited States

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  • Timeline

  • About me

    Finance Data Science @ Amex

  • Education

    • KJ Somaiya College of Engineering, Vidyavihar

      2014 - 2018
      Bachelor's degree Electrical, Electronics and Communications Engineering
    • Northeastern University

      2022 - 2023
      Master's degree Data Modeling/Warehousing and Database Administration
    • KC College

      2013 - 2014
      Higher Secondary Science
  • Experience

    • Team KJSCE ROBOCON

      Apr 2016 - Apr 2017
      Hardware Engineer
    • Occipital Tech

      Sept 2018 - Dec 2018
      Computer Vision Engineer Intern

      -Developed a Document Scanner algorithm using Autoencoders.-Deployed a people counting algorithm using Tiny Yolo for detection and Kalman tracker for tracking on Jetson TX2.-Used Image processing technique i.e box filtering for distinguishing good and bad peanuts based on the color of the peanut.-Fill level detection on semi-opaque wine bottles using image processing techniques.

    • Cartesian Consulting

      Dec 2018 - Feb 2021

      -Promo Optimization for a QSR brand to increase its digital presence and help personalizing theirrecommendations-Incentive Optimization for a tractor business and help understand their Dealer’s health while incentivizing the Dealers for optimal throughput -Solving Business problems and provide Business solutions through analytics-Upscaling Businesses through CRM analytics and Campaign management-Demand Forecasting for a retail electronics giant with 150+ stores spread across PAN India

      • Senior Analyst

        Jul 2020 - Feb 2021
      • Data Analyst

        Dec 2018 - Jul 2020
    • Swiggy

      Feb 2021 - Dec 2021
      Data Scientist

      Smart Business Anomaly Detection1. Developed an Anomaly Detection system to capture Business Anomalies at the lowest granularity possible2. Algorithmic Anomaly Detection using time series algorithms on the TTS using Model Tournament based on univariate forecasting like ARIMA & multi-variate forecasting like DeepAR, Prophet, NBeats, etc3. Explain Module to perform RCA of these Business Anomalies & filtering out few anomalies using Expert ModuleEvaluating Venture Acquisition impact1. Evaluated the CPD savings Swiggy could achieve by acquiring an early-stage startup & thereby help leadership project the breakeven point to recoup the investmentZone Guide1. Zone Guide is a feature introduced in the DE app to help them locate the popular restaurants & High order density areas in the Zones2. Evaluated the CPD savings that were achieved using this featureAwarded EOQ in the first quarter for spearheading the Smart Business - Anomaly Detection project Show less

    • Northeastern University

      May 2022 - Mar 2023
      Research Assistant

      Studying the correlation of Infant's sucking behaviour to their breathing and sleeping patterns with an objective to minimize sudden Infant death syndrome (SIDS).Published our results to MICCAI'23: https://arxiv.org/abs/2303.16867

    • Deloitte

      Jan 2023 - May 2023
      Data Science Intern

      Built an end-to-end anomaly detection model for Journal Entry data that makes the entry selection process for auditors more efficient. Achieved an F1-score of 0.91 on the best-performing CatBoost modelAwarded an applause award for comprehensively understanding the use case along with faster experimentation

    • American Express

      Jun 2023 - Aug 2023
      Data Science Intern
    • American Express

      Jan 2024 - now
      Data Science Manager
  • Licenses & Certifications