Summary
Tanmoy Das is a Principal Data Scientist and Operations Research expert with 9 years of experience applying machine learning, stochastic programming, and large-scale optimization to transportation, logistics, and financial problems. He holds a PhD in Industrial Engineering from Dalhousie University and has led research and production projects that reduced GHG emissions by up to 73% and cut fuel costs by 87% through RL-accelerated branch-and-price routing. Comfortable bridging academia and industry, he has delivered deployable Gurobi- and Python-based solutions, Bayesian decision models, and fast meta-heuristics that trade tiny optimality gaps for substantial speedups. He combines technical depth in Python, R, SQL, cloud platforms and MLOps with strong communication and team leadership to turn complex models into business decisions. Beyond analytics, he applies a storytellerโs eye to data and pursues portrait photography and travel, reflecting a creative approach to problem framing.
9 years of coding experience
7 years of employment as a software developer
Masterโs Degree Industrial Engineering, Masterโs Degree Industrial Engineering at Florida State University
Bachelor's degree Industrial & Production Engineering, Bachelor's degree Industrial & Production Engineering at Rajshahi University of Engineering & Technology
PhD Industrial Engineering (Operations Research), PhD Industrial Engineering (Operations Research) at Dalhousie University
Diploma Operations Research, Diploma Operations Research at Canadian Operational Research Society
English, Bengali, Hindi