Summary
Srivats Shukla is a Senior Data Scientist and electrical engineer with 12 years of experience applying machine learning and software engineering to energy analytics, grid operations, and renewable integration. He has progressed from firmware engineering and academic research to R&D and principal data science roles at Utopus Insights (now part of Vestas) and currently serves as an analyst at Citadel, blending rigorous modeling with production software development. His work spans renewable power forecasting, predictive maintenance for wind farms, decentralized control, and interoperability—areas that require both power-systems depth and practical ML deployment. Trained with a PhD in Electrical and Electronics Engineering from Virginia Tech and early industry experience at GE and IBM Research, he uniquely bridges utility-scale electrical fundamentals and modern data-driven solutions. Notably, his career has repeatedly focused on turning research prototypes into commercial-grade tooling for utilities navigating rising renewable penetration.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering, Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering at Virginia Tech
High School, High School at City Montessori School
Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.), Electrical and Electronics Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi