Experience

Data Engineer / Data Scientist

Working as a Data Engineer and Data Scientist, primarily responsible for designing and operating data platforms, as well as data collection, processing, visualization, analytics, and AI-driven initiatives to enable data-driven decision-making.

  • Building and operating data platforms (Snowflake, Databricks)
  • Data collection, processing, and visualization
  • Data analysis
  • AI and generative AI applications, including internal chatbots and text-to-SQL platforms

IT Consultant

Supporting small and medium-sized businesses in adopting data and AI solutions. Providing end-to-end support, from problem definition to implementation, tailored to each organization's needs.

  • Planning and problem definition for data and AI initiatives
  • Implementation support

Machine Learning Engineer / Product Manager

As a Machine Learning Engineer and Product Manager, responsible for project management and engineering of ML/AI-related contract projects.

  • Development of AI for loan screening
  • Development of AI chatbots for clients

Teaching Assistant

  • Answered questions for courses offered by the Data Science Center
  • Advised research projects using data science, including method selection and implementation support

Research and Development Engineer

Data Scientist

Education

Seiko Gakuin High School

Waseda University

Tota Suko Seminar (Statistical Science)

Studied Bayesian statistics and natural language processing

Bayesian Statistics / Natural Language Processing

President, Waseda University Marketing Research Association / Waseda University Squash Club

Waseda University

Masayuki Goto Laboratory (Data Science)

Conducted research across a broad range of data science topics

Machine Learning / Natural Language Processing / Computer Vision / Reinforcement Learning / Recommender Systems / Point Cloud Processing

Research

Publications

  1. Journal

    An Approximate Bayes-Optimal Algorithm for Survey Data with Selection Bias in Logistic Regression Analysis

    Taichi Abe, Tota Suko, Masayuki Goto

    Sankhya A

  2. Conference

    An Approximate Bayes Optimal Algorithm for Correcting Sample Selection Bias for Logistic Regression Models

    Taichi Abe, Tota Suko, Masayuki Goto

    The 21st ANQ CONGRESS 2023

  3. Conference

    A Data-Driven Targeting Method to Promote Customer Use of E-Commerce in Omni Channel Strategy

    Taichi Abe, Ayako Yamagiwa, Tianxiang Yang, Naoto Onzo, Takeshi Moriguchi, Masayuki Goto

    24th Asia Pacific Industrial Engineering & Management System Conference

  4. Conference

    Contextual Bandit Algorithm with Decision Trees and Upper Confidence Bound for Adaptive Recommendation

    Sho Oiwa, Taichi Abe, Keigo Kimura, Satoshi Suzuki, Masayuki Goto

    The 51st International Conference on Computers & Industrial Engineering (CIE51)

  5. Conference

    A Selection Bias Correction Algorithm for Logistic Regression Models Based on Statistical Decision Theory

    阿部太一, 須子統太, 後藤正幸

    The 37th Annual Conference of the Japanese Society for Artificial Intelligence (2023)

  6. Conference

    A Contextual Bandit Algorithm Using Decision Trees and Upper Confidence Bounds

    大岩将, 阿部太一, 木村恵悟, 鈴木佐俊, 後藤正幸

    The 38th Annual Conference of the Japanese Society for Artificial Intelligence (2024)

  7. Conference

    Contour Sharpening in Zero-Shot Image Segmentation

    永見陽輝, 桜井洸介, 阿部太一, 山極綾子, 後藤正幸

    2024 Fall Conference of the Japan Industrial Management Association

  8. Conference

    Bayes-Optimal Selection Bias Correction for Survey Data Analysis

    阿部太一, 須子統太, 後藤正幸

    5th Annual Conference of the Japan Society of E-Commerce (2023)

  9. Conference

    Identifying Customers for Whom First-Time E-Commerce Use Is Effective in an Omnichannel Setting

    阿部太一, 山極綾子, 守口剛, 恩藏直人, 後藤正幸, 楊添翔

    6th Annual Conference of the Japan Society of E-Commerce (2024)

  10. Conference

    A Data-Driven Targeting Method to Promote New E-Commerce Use in an Omnichannel Setting

    阿部太一, 山極綾子, 守口剛, 恩藏直人, 後藤正幸, 楊添翔

    38th Symposium of the Japan Society of Computational Statistics (JSCS2023)

Awards

Student Research Presentation Award, 38th Symposium of the Japan Society of Computational Statistics

Encouragement Award, 5th Annual Conference of the Japan Society of E-Commerce

Encouragement Award, 6th Annual Conference of the Japan Society of E-Commerce

Outstanding Student Award, Department of Business Design and Management, Waseda University

First in class (GPA 3.85)

Scholarships

Category I Graduate Scholarship

Japan Student Services Organization, Repayment Exemption for Outstanding Achievement · Full repayment exemption

Waseda University Scholarship

Waseda University Alumni Association · Grant

Certifications

TOEIC

Score 800

Fundamental Information Technology Engineer Examination

Japan Statistical Society Certificate, Grade 2

Data Science Certification, Literacy Level

Waseda University

Data Science Certification, Beginner Level

Waseda University

Data Science Certification, Intermediate Level

Waseda University

Data Science Certification, Advanced Level

Waseda University

Skills

Data & AI

Machine Learning / Statistical Analysis / Bayesian Statistics / Natural Language Processing / Computer Vision / Reinforcement Learning / Recommender Systems / Point Cloud Processing / Generative AI

Data Engineering & Analytics

Data Platform Engineering and Operations / Data Collection and Processing / Data Visualization / Data Analysis / Databricks / Snowflake / BigQuery / dbt

Software

Python / Git/GitHub / Claude Code/Codex/Cursor