Takashi Umeda
Principal Scientist, Rakuten Institute Of Technology
Kawasaki, Japan
Summary
👤
Senior🎓
Top SchoolTakashi Umeda is a Principal Scientist at Rakuten Institute of Technology with eight years of focused experience applying statistics, machine learning, and big data engineering to finance, e-commerce, and digital content problems. He leads and mentors large cross-disciplinary research teams while concurrently serving as the point person for credit scoring and lending projects across the Rakuten Group. His work spans recommendation and personalization systems, demand forecasting and inventory optimization, asset management, and credibility modeling, and includes collaborative academic research such as a price convergence study with Columbia University. Based in Kawasaki, Japan, he blends hands-on data science with organizational leadership, having rotated through banks, trading, and InsurTech units within Rakuten. An early recommender-systems researcher and best-paper awardee at Rakuten R&D, he still codes across languages from Python to Java and C++, reflecting both research depth and practical engineering.
8 years of coding experience
10 years of employment as a software developer
Bachelor's Degree, Informatics, Bachelor's Degree, Informatics at Shizuoka UniversityMaster of Engineering - MEng, Engineering, Master of Engineering - MEng, Engineering at Tokyo Institute of Technology
Github Skills (38)
rest-framework10
github-flow10
benchmarking9
docker8
partial8
python8
adversarial-machine-learning8
robustness8
security8
redis7
machine-learning7
phonetics7
django7
nginx6
keras6
Programming languages (6)
Github contributions (5)
d-party/d-party-Backend
Mar 2022 - Dec 2022
d-partyのバックエンドを担当するリポジトリ
Contributions:1 review, 335 commits, 177 PRs in 9 months
nginxpythonredispartydjango
d-party/d-party-Upptime
Jun 2022 - Apr 2025
Contributions:3115 pushes, 2 branches, 22 comments in 2 years 10 months
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