Experience

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  Kshitij, iit kharagpur

  Apr 2012 - Mar 2013

  Core team head, events

  -Conceptualized a new event Vision 2030, based on smart cities. The event had certification of Indian Green Building Council (IGBC). -Organized an event on RC engine cars that saw huge on-spot participation for the first time in Kshitij.-With the help of Rajiv Gandhi School of Intellectual Property Law, IIT Kharagpur I was responsible to conduct a national level moot court competition during Kshitij, called "The Verdict".-Was instrumental in organizing the ACM Regionals, Kharagpur site in the month of December, 2012. Show less

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  Gabriel india limited

  May 2012 - Jun 2012

  Trainee

  Worked on Line Balancing and Ergonomics at the Pre-Dispatch Inspection of products used in Logan, Indica, and i10.

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  Siemens plm software

  May 2013 - Jun 2013

  Operations management trainee

  Employed clustering technique and genetic algorithm to optimize capacitated vehicle routing problem of perishable raw materials. Verified results after testing robustness of the algorithm on system using real time analysis in Tecnomatix Plant Simulation.

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  Jabong.com

  Dec 2013 - Jan 2014

  Sales and operations management intern

  Strategized different schemes for offline sales through KIOSK and supervised company salesmen working in sales loop. Implemented a new assortment of products at the KIOSK. Forecasted demand using linear regression analysis and subsequently planned inventory for hybrid stores.

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  Ipsos

  May 2014 - Jun 2014

  Marketing analyst intern

  Engineered a new market mixed modelling tool on VBA to estimate sales over marketing spend across multiple levels of geography. Analzed various sales models on an open source R platform.

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  Bosch engineering and business solutions

  Jul 2015 - Oct 2016

  Senior engineer, data analytics

  - Developed model to identify anaemia severity by using the output of sensors, a non-invasive economic technique. It is a part of research project done at John Hopkins University.- Simulated thousands of vehicles under a python environment to generate data input to the big data architecture via Kafka. This model was used to demonstrate the connected vehicles capabilities of the organization.- Engineered model to identify the dispensed beverage through signal taken from the vibrations of coffee vending machine and predict its raw material requirements. Show less

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  Affine analytics

  Nov 2016 - Jul 2017

  Data scientist

  Data Scientist, for client Sears Holdings in the Retail domain.- Built a model (Member Scoring Model -[MSM]) to identify loyal members to every business unit of Sears and K-mart stores. The MSM models were revamped to accommodate for gradient boosting methods to calculate the member scores.- Customer embeddings were built as a part of feature engineering to encrypt the buying pattern of members, to improve the scores. The embeddings were further used while building MSM models.- Worked on building a gradient boosting model to capture the member engagement over mailers sent for Shop-Your-Way, Sears and K-Mart.- Technologies/Algorithms used: LightGBM, Tensorflow, Keras, Random Forest, PySpark, Python, Google Cloud Platform Show less

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  Express scripts

  May 2018 - Aug 2018

  Intern data science

  Worked in Enterprise Data Science Team.-Built therapy level models to identify the propensity of a member to respond to various types of interventions.-Models were developed with an objective of increasing adherence to medications.-The project was a part of Technology product empowering ESI to give a holistic overview of population and clinical outcomes guarantees. Algorithms/ Technologies used: Teradata, R, Python, Logistic Regression, Random Forest, FeatureTools

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  Walmart labs

  Aug 2019 - now

  Associate product manager