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 (31)
benchmarking10
github-flow10
denoising10
convolutional-neural-networks9
security9
python9
rest-framework9
docker9
nginx8
django8
keras8
machine-learning8
redis7
image-restoration7
deep-learning6
Programming languages (6)
Github contributions (5)
Uno-Takashi/Zenn-Content
Nov 2021 - May 2025
zennの記事を格納するためのリポジトリ
Contributions:2 PRs, 55 pushes, 2 branches in 3 years 6 months
docker-comopsevscodedockerzennremote-containers
d-party/d-party-Upptime
Jun 2022 - Jul 2026
Contributions:3881 pushes, 2 branches, 22 comments in 4 years 2 months
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