Summary
Shohei Ogawa is a data scientist with 11 years of experience applying statistical and Bayesian modeling to business problems across HR, marketing/advertising, and energy domains. Educated in sociology and behavioral science (Bachelor from Nihon University, Master from Tohoku University), he blends social-science rigor with practical data engineering and decision-support tool development. His work spans churn/retention modeling, demand forecasting tied to operational decision algorithms, and production analytics for promotions and ad operations. He has a track record of turning analyses into tools—such as Shiny-based BI and decision-support systems—and won the 2016 HR Tech Award (Analytics) and a top placement in a major hedge-fund financial modeling competition. Comfortable moving between hands-on implementation (R, PLC/C in earlier engineering roles) and stakeholder-facing reporting, he brings a rare mix of domain insight, statistical depth, and product-minded delivery.
10 years of coding experience
8 years of employment as a software developer
修士, 行動科学, 修士, 行動科学 at 東北大学
学士, 社会学, 学士, 社会学 at 日本大学