Summary
Eina Ooka is a Principal Data Scientist with over a decade of experience applying forecasting, optimization, and stochastic modeling to energy markets, currently leading analytics at The Energy Authority. She bridges advanced quantitative methods—Gaussian processes, Monte Carlo simulation, MIP and hybrid ML/OR approaches—with pragmatic production delivery, emphasizing feature engineering, time-series hierarchies, and scalable R-based tooling. Eina’s background ranges from simulation engineering to teaching, giving her a rare mix of deep mathematical training (MS Mathematics) and hands-on system development, including Shiny applications and SQL-backed pipelines. Known for mentoring through active listening and organizing knowledge-sharing, she focuses on customer-centered solutions that move quickly from prototype to operation. A practical researcher, she also presents at conferences and maintains reproducible analysis on GitHub, demonstrating commitment to reproducibility in energy analytics.
10 years of coding experience
6 years of employment as a software developer
MS Mathematics, MS Mathematics at University of Washington
BS Mathematics, BS Mathematics at Western Washington University
Japanese