ML Engineer (X3) -> Staff Data Scientist (X5)
Published:
Jan 2019 – Present
Posts by Collection
portfolio
Software Engineer, Machine Learning
Published:
July 2018 – Jan 2019 (6 mos)
NLP Research Intern
Published:
May 2017 – Sep 2017 (5 mos)
NLP Research Project Mentee
Published:
Jan 2017 – May 2017 (5 mos)
Associate Applications Developer (Full Stack)
Published:
Sep 2015 – Jun 2016 (10 mos)
Software and Applications Developer
Published:
Jul 2014 – Dec 2014 (6 mos)
Circuit Designer (Project Intern)
Published:
May 2013 – Jul 2013(3 mos)
publications
EDU-Extractive Single-Document Summarization using Recursive Cardinality Potentials
Published in Umass Amherst, 2018
Tackled two difficult variants of Document Summarization, the single input summarization and extractive summarization (compressed sentence or EDU) on The New York Times Annotated Corpus(NYT50)
Exploring the Efficiency of Capsule Networks in GANs
Published in Umass Amherst, 2018
Used Capsule Network as discriminator for a generative adversarial network (GAN), trained using several hacks, which outperformed CNN-GANs at modeling image data distribution of mnist, cifar10 and celebA
A Multi-Objective Optimization for Clearance in Walmart Brick-and-Mortar Stores
Published in INFORMS Journal on Applied Analytics, 2021
Using RL to simulate price markdowns in stores, personalized to region and demographic based optimal policy in order to balance contradictory multi-objective optimization scenario. We need to reduce the price to increase sell through rate of bad performing products, but this decay has to be done in a slow controlled duration, so as to avoid triggering a replenishment before shelf change cycle. This involves reward design with multiple cost penalties. For single price change scenario we devised a variant of the Black Scholes Equation
Recommended citation: Nitin Kishore Sai Samala, Yixian Chen, Prakhar Mehrotra, Kamilia Ahmadi, Viresh Jivane, Linsey Pang (2021) A Multiobjective Optimization for Clearance in Walmart Brick-and-Mortar Stores. INFORMS Journal on Applied Analytics 51(1):76-89. https://doi.org/10.1287/inte.2020.1065 https://doi.org/10.1287/inte.2020.1065
InAppropriate Content Detection System
Published in US Patents, 2021
Built an end-to-end automated pipeline for “Inappropriate content detection” for UGC(user generated content) items on Walmart eCommerce using Vader Sentiment, Topic Modelling, Snorkel and BERT. Built as part of the Trust and Safety framework. This framework creates auto-generated keyword based rules that are obtained through Topic Modelling, over a multi-processed scraper that pulls in RSS feeds of news articles and summaries
talks
teaching
Undergrad Coursework
8/10 GPA, BITS Pilani, ECE, 2015
Graduate Coursework
3.81 GPA, University of Massachusetts Amherst, CICS, 2018
Online Coursework and Certifications
Certifications, MOOCs done on ⬇ since, 2018
