Summary
Tomohiro Fukui is a Senior Data Scientist based in Tokyo with eight years of experience building data-driven solutions across retail, apparel, restaurants, and consulting. He specializes in demand forecasting, anomaly detection, and causal inference, and has a track record of improving operational outcomes—e.g., boosting gross profit by 5% across 100 stores and accelerating management decisions by a week through time-series and anomaly work. Experienced in end-to-end model development and cloud deployment (AWS/GCP), he also leads distributed teams and collaborates directly with business stakeholders to turn insights into prioritized actions. Notably, he has applied Generative AI to surface product pain points from e-commerce reviews and automated proposal workflows to speed development of repeatable analytics projects. Trained in economics at the University of Tokyo, he brings a quantitative, business-minded approach and bilingual (Japanese/English) communication to bridge analytics and operations.
8 years of coding experience
4 years of employment as a software developer
University of Tokyo