Abhinav Aggarwal

Experience

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  Dass Oilfield Technologies Private Limited

  May 2012 - Jul 2012

  Summer Intern

  Designed Non-Returning Valve (NRV) to prevent Inter-Layer cross-flow between multiple zone oil wells

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  Techkriti, Indian Institute of Technology Kanpur

  Dec 2012 - Mar 2013

  Coordinator, Guinness World Record Attempt

  Introduced and conceptualized the idea of making a World Record of Most people solving Rubik's Cube resulting in 1884 people solved the cube in an hour to set a new World Record by beating the earlier record of 1451

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  Ranbaxy

  May 2013 - Jul 2013

  Summer Intern
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  Flipkart.com

  Jul 2014 - Feb 2016

  Worked as a business analyst for Home and Personal Care, Books, and Auto categories. Responsible for inventory planning, sales prediction, and seller onboarding during The Big Billion Days (TBBD) 2015. Drove project BOLT to reduce procurement SLA for FMCG&Auto Business units. Responsibilities included seller side analytics and metrics tracking including RTS breach, Reattempts, Seller Cancellations, and Customer returns for Health and Personal Care Category. Also responsible for various analytics-based recommendations like combo creation, product price to category heads.

  • Business Analyst

    Jul 2015 - Feb 2016

  • Graduate Trainee

    Jul 2014 - Jun 2015
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  Okul

  Mar 2016 - Dec 2016

  Co-Founder
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  Holachef Hospitality Pvt. Ltd.

  Jan 2017 - Oct 2017

  Analytics Manager

  Involved in multiple projects such as building collaborative filtering based dish recommender system, Markov Model based sales prediction model to reduce food wastage. Also responsible for daily sales tracking and reporting to relevant stakeholders.

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  Sutherland

  Oct 2017 - Aug 2018

  Senior Analyst

  Worked on automatic time-series forecasting to predict call volume using ARIMAX. Also created a lead scoring model for the top insurance company.

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  ETH Zürich

  Dec 2018 - Jan 2021

  Research Assistant

  - Working on wiki data API for analysis of COVID-19 related articles- Using the Stack exchange dataset to understand differences between community leaders & others and map the sentiment journey of members as they mature on the platform. - Did comparative analysis of sentiment prediction between BERT, LSTM based models, and conventional machine learning models- Detected bias in preprocessing and model selection using Microsoft Academic Graph dataset

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  University of Zurich

  Feb 2020 - Jan 2021

  Responsible for making programming exercises and solutions covering various key concepts of Data Structures and Algorithms like Recursion, Sorting, Pointers, Linked List, Stacks, Queues, Trees, Hash Tables, Dynamic Programming, BFS and DFS

  • Teaching Assistant for Machine Learning in Computer Linguistics

    Sept 2020 - Jan 2021

  • Teaching Assistant for Informatics II

    Feb 2020 - Sept 2020
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  CarbVis AG

  Jan 2021 - Jul 2022

  Computer Vision Engineer

  - Working on computer vision based meal carbohydrates estimation system for diabetic patients. - Responsible for Food Recognition, Instance Segmentation, 3D Reconstruction, and Volume Estimation services- Major responsibilities include research & implementation for state-of-the-art techniques, creation of training data wherever necessary

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  Comerge AG

  Aug 2022 - now

  Professional Computer Vision Engineer