Kashish Jain

Experience

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  Team KJSCE ROBOCON

  Apr 2016 - Apr 2017

  Hardware Engineer
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  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.

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  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
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  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

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  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

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  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

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  American Express

  Jun 2023 - Aug 2023

  Data Science Intern
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  American Express

  Jan 2024 - now

  Data Science Manager