Summary
Saikat Das is a data scientist with 8 years of experience who blends a PhD-level mathematical background in geometric group theory with practical expertise building and productionizing ML models for commodities and energy markets. He has led end-to-end modeling at Gro Intelligence—deploying 17 flagship supply models with industry-leading MAPEs (2–6%)—and currently applies his forecasting skills to natural gas at Millennium. Comfortable across the stack, he has engineered feature pipelines from geospatial and survey data, containerized experiments in AWS, and implemented monitoring with Airflow and Databricks to drive reproducible, cost-efficient workflows. A founding member of an engineering hiring advocacy group, he also brings proven project leadership and cross-functional coordination that scaled teams and standardized recruitment. Notably, his academic work in geometric topology informs a rigorous, theory-driven approach to feature engineering and model behavior analysis.
8 years of coding experience
5 years of employment as a software developer
Master of Science (MS) Mathematics, Master of Science (MS) Mathematics at Ramakrishna Mission Vivekananda University
Doctor of Philosophy (Ph.D.) Mathematics, Doctor of Philosophy (Ph.D.) Mathematics at Rutgers University - Newark
Bachelor’s Degree Mathematics and Computer Science, Bachelor’s Degree Mathematics and Computer Science at University of Calcutta
English, Hindi, Bengali