小栗直己

日本データサイエンス研究所

データサイエンス部門 データサイエンティスト

2020-08 -

データスタジアム株式会社

ナレッジ開発チーム データサイエンティスト

Developed and implemented a machine learning model to predict the best pitch for a live broadcasting of professional baseball.

Developed a machine learning model to predict a shoot success probability (expected goals) for professional football and wrote the analytical article on the website.

Built a recommendation system for similar football players and implemented it in the the website.

Built a the automatic detection model of football team formation.

Designed a solution of machine learning/statistics services and built successful relationships with clients or coworkers at workplace.

Wrote analytical or scientific paper reports.

2019-07 - 2020-07

University of Sussex

Left a school six months after enrolling.

Coursework in machine learning, computational biology and cognitive science towards a master degree.

2019-04

University of Michigan

College of Engineering, Macomolecular Science and Engineering Ph.D.

Left a school three months after enrolling.

Coursework in materials science, polymer chemistry towards a PhD degree.

Synthesized silicon/phosphorous compounds to investigate the chemistry of materials for electronic and photonics applications.

2016-12

群馬大学

理工学府 物質・生命理工学教育プログラム

Achieved a synthesis of a novel cage silicon materials with high thermal/physical property and elucidated the structures.

Synthetically approached to stable silicon benzene analogues while studying for four
months at Ecole Nationale Supérieure de Chimie de Montpellier, France.

2016-03

群馬大学

工学部 応用化学・生物化学科

Early graduation and second out of 172 students.

Developed new Si–O–Si bond formation reactions for making novel silicon precursor of structurally controlled materials with high thermal and physical property.

Achieved highly efficient modification of monolayer polysilane for application to electronic and photonic devices and lithium-ion battery electrodes.

2014-03

Japanese

Native

English

Professional

French

Conversational

ITパスポート

2020-7

日本ディープラーニング協会 G検定

2019-11

IELTS 7.0

2018-5