Toshihiro Nakae
Data Scientist
Chiyoda, Japan
Summary
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Top SchoolToshihiro 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.
7 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
Github Skills (23)
python10
data-science10
scikit10
variational-autoencoder10
statistics10
machine-learning10
autoencoder10
unsupervised-learning10
scikit-learn10
data-analysis10
optuna7
tensorflow7
eigen6
pybind116
nlp5
Programming languages (3)
Github contributions (5)
tnakae/MLlearn
Mar 2020 - Feb 2023
Contributions:30 PRs, 87 pushes, 30 branches in 2 years 11 months
tnakae/DAGMM
May 2018 - Dec 2020
DAGMM Tensorflow implementation
Contributions:30 commits, 19 PRs, 17 pushes in 2 years 6 months
autoencoderunsupervised-learningautoencodersvariational-autoencodertensorflow
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