Summary
Sourabh Dalvi is a Power Trading Analyst and operations research specialist with a decade of experience applying data science and optimization to power systems. He transitioned from a senior research role at NREL—where he helped develop the SIIP framework and contributed to PowerSystems.jl and PowerSimulations.jl—to commercial trading analytics at Appian Way Energy Partners. His work spans unit commitment, economic dispatch, and multi-stage stochastic optimization, and he has experience integrating co-simulation across electricity, water, and gas systems. Trained in industrial engineering and operations research at Penn State, he also brought academic–industry collaboration experience with GE on flexibility valuation and is developing reinforcement learning approaches for scalable production-cost modeling. Based in Cambridge, MA, he blends deep modeling expertise with practical trading and operations insight.
10 years of coding experience
7 years of employment as a software developer
Master of Science (MS) Dual Title Degree in Industrial Engineering and Operations Research, Master of Science (MS) Dual Title Degree in Industrial Engineering and Operations Research at Penn State University
Bachelor of Engineering Mechanical Engineering, Bachelor of Engineering Mechanical Engineering at University of Mumbai
English, Marathi, Hindi