Tamojit Maiti is a Senior Data Scientist with 6+ years of experience building forecasting, pricing, recommendation and optimization systems across e‑commerce, mobility and supply‑chain domains. Trained at the Indian Statistical Institute (M.Tech Operations Research) and with engineering roots, he combines strong quantitative foundations with hands‑on product deployments in cloud environments. His recent roles span R&D in inventory optimization and causal explainability at Blue Yonder to applied dynamic pricing and recommender systems at Sixt and Rapido, and he now contributes to learning infrastructure at Coursera. An experienced instructor who has delivered 100+ weekend lectures and taught 400+ students, he brings clarity translating complex ML concepts for practitioners and learners alike. Notably, early internships at AB InBev and research stints at Max‑Planck and IISc show a pattern of tackling noisy real‑world signals—from intermittent demand forecasting to exoplanet signal processing. Based in Bengaluru with a minimalist approach to tooling, he balances rigorous modeling with pragmatic, production‑oriented solutions.
6 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE Mechanical Engineering, Bachelor of Engineering - BE Mechanical Engineering at Jadavpur University
M.Tech Operations Research, M.Tech Operations Research at Indian Statistical Institute, Kolkata
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