Kosuke Suzuki

Data Scientist

https://talent.gravityer.com/kosuke-suzuki

Tokyo, Tokyo, JapanMember since June 22, 2026

Key Strengths

Demonstrated interest and practical experience in Natural Language Processing (NLP) through projects like 'ja_text_bert', 'BERT-NER-ja', 'ErrorDetection', and 'text_error_detection'.
Proficiency in Python and Jupyter Notebook, which are core tools for Data Scientists.
Experience with BERT models, indicating familiarity with advanced deep learning architectures for text.
Exposure to various aspects of data science, including text processing, machine learning, and potentially speech synthesis ('Grad-TTS').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and focused on specific technical areas within data science, particularly NLP. While this shows initiative, the lack of team projects or diverse domain applications makes it difficult to fully assess cultural fit or adaptability to varied team environments. The projects align well with a Data Scientist role, but the breadth of application is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

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Assessing your cultural and operational fit

Projects

Grad-TTS

December 7, 2022 – December 8, 2022

Grad-TTS — repository

View Project

nonlinear_kalmanfilter

June 18, 2020 – December 3, 2020

nonlinear_kalmanfilter — repository

View Project

cp_seminar

December 9, 2019 – December 9, 2019

cp_seminar — repository

View Project

BERT-NER-ja

February 1, 2019 – July 29, 2019

BERT-NER-ja — repository

View Project

ErrorDetection

December 8, 2018 – December 28, 2018

Text Error Detection

View Project

gourmet_bot

December 5, 2018 – December 7, 2018

The gourmet chatbot for Slack

View Project

text_error_detection

December 3, 2018 – December 4, 2018

This is focusing on error detection in text

View Project

papers

November 30, 2018 – November 30, 2018

short summaries of papers which I have read

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ja_text_bert

October 31, 2018 – November 8, 2018

日本語WikipediaコーパスでBERTのPre-Trainedモデルを生成するためのリポジトリ

View Project

cat_dog_clfs

July 28, 2018 – July 28, 2018

cat_dog_clfs — repository

View Project

Key Strengths

Demonstrated interest and practical experience in Natural Language Processing (NLP) through projects like 'ja_text_bert', 'BERT-NER-ja', 'ErrorDetection', and 'text_error_detection'.
Proficiency in Python and Jupyter Notebook, which are core tools for Data Scientists.
Experience with BERT models, indicating familiarity with advanced deep learning architectures for text.
Exposure to various aspects of data science, including text processing, machine learning, and potentially speech synthesis ('Grad-TTS').

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.

Kosuke Suzuki

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit