Summary
Toshihiro Nakae is a data scientist with eight years of hands-on experience building production machine learning and recommendation systems, currently developing materials-analysis applications at Toyota Motor Corporation. He began his career leading data analysis consulting at NTT Data Mathematical Systems, gaining deep exposure to diverse industries and client-facing solution design. At BizReach he focused on Python-driven engineering, turning statistical and ML theory into scalable recommendation and prediction logic. His background includes applied IoT analytics for healthcare-related signal detection, showing an aptitude for noisy, sensor-derived data. He pairs rigorous academic training from the University of Tokyo with a practical knack for shipping robust analytics in large organizations. Colleagues describe him as a continuous learner who actively tracks new techniques and translates them into concrete product improvements.
8 years of coding experience
21 years of employment as a software developer
Master of Science - MS, Graduate School of Arts and Sciences, Master of Science - MS, Graduate School of Arts and Sciences at 東京大学