Summary
Ieshan Vaidya is a Staff Data Scientist with a decade of experience building ML-driven solutions at Walmart, focused on anti-fraud and in-club member experience as well as personalization, recommendation, and ranking systems. He combines an MS in Data Science from NYU and a BS-MS in Physics from IISER Pune, bringing strong quantitative foundations and practical production engineering experience dating back to software engineering roles. His background includes applied research in reinforcement learning for options hedging and work on cross-lingual word embeddings for Wikimedia, highlighting a knack for tackling cross-disciplinary problems. Based in Dallas, he blends rigorous academic training with hands-on deployment of models at scale, and maintains an active GitHub presence reflecting ongoing curiosity in data science tooling and experiments.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at New York University
BS-MS Dual Degree Physics, BS-MS Dual Degree Physics at Indian Institute of Science Education and Research (IISER), Pune