Industry Work

IBM and Boston Scientific

Work with the data science team at Boston Scientific to improve demand forecasting for thousands of products resulting in projected savings of $2+ million due to corresponding safety stock reductions. Developed full data processing and model training pipeline. Proposed novel transformer-based time series forecasting models. Paper submitted to International Journal of Forecasting and received Revise and Resubmit with revision submitted.

(Fall 2020 – Present)

Oracle Research Internship (Business Retail Unit)

Improve demand forecasts of products by detecting cross-effects of other items on a single item’s demand. Identifying such cross-effect interactions by using and creating custom item embeddings.

(Summer 2023)

Facebook Software Engineering internship (Core Infrastructure – Databases)

Set up a regression framework to benchmark various queries to a new in-memory database created by my team in order to detect any changes in performance.

Summer 2019

Facebook Software Engineering Internship (Core Infrastructure – Streaming)

Created a background process for a C++ file API for streaming writes and reads. Adapted Facebook Live to be able to stream videos via this process.

Summer 2018

Teaching

Executive MBA class Data Models and Decisions (MIT, 15.730)

Teaching Assistant (Spring 2022, Spring 2023) Held regular office hours and recitations, introducing students in the MIT EMBA program to the fundamental techniques of using data to make informed management decisions.

Python and Excel Tutorials (Spring 2024) Held several python and excel introductory tutorials for EMBA students. This includes gathering instructive datasets, designing examples, and workflows for data processing and model development.

Tutor (Spring 2024)

Capstone Advisor for Masters Students

Advisor to Masters’ in Engineering thesis “Coherency Loss for Hierarchical Time Series Forecasting” (Fall 2023 – Spring 2024)

Advisor to Masters’ in Engineering thesis “Modeling with Attention in Demand Forecasting and Beyond” (Fall 2022 – Spring 2023)

Advisor to Masters of Business Analytics students, Kiran Gite (2020), Arpit Jain (2021), Hamza Zerhouni (2022), Maxime Wolf (2023).

Advisor to undergraduate research assistant Summer Zhou (Summer 2024 – Present)

Honors Algorithms (Georgia Tech, CS 3511)

Introduce techniques of design and analysis of efficient algorithms for standard computational problems in number theory, graph theory, randomized algorithms, optimization, dynamic programming and introduction to NP-completeness.

Spring 2019, Spring 2020