株式会社 NTTデータ数理システム ー NTT DATA Mathematical Systems Inc.

Research Engineer, Data Mining Division
Apr. 2021 – Apr. 2024

Chief Research Engineer, Data Mining Division
Apr. 2024 – Present.

Software Development for Data Analysis

• Designed, implemented, and maintained core statistical and machine‑learning libraries in  Data Analytics software.

• Led front‑end architecture and UX design for the BayoLinkS v9.2.0 release (March 28, 2024), including the “Causal Mapping” icon that enables intuitive diagram‑based constraint setting for Bayesian network structure learning.

• Enhanced the Causal Mapping feature with capabilities such as free‑form diagram drawing, data‑driven variable placement, style customization, group creation, and direct export of causality constraints for downstream analysis.

• Adopted advanced UX design methodologies—including mental model diagrams, user scenarios, and object‑oriented UI (OOUI)—to align stakeholder vision, streamline feature ideation, and accelerate delivery cycles.

Data Analysis

• I have consistently managed the entire data analysis process—organizing client requirements, planning the analysis, executing it, summarizing results, and delivering comprehensive reports. This end-to-end involvement has enabled clients to make informed decisions and contributed to their business success.

• I also provide consulting services to clients facing challenges in data analysis, offering tailored analytical approaches and methodologies that lead to more effective and insightful outcomes.

Data Scientist Education

• Developed and delivered comprehensive statistics and machine learning training programs, equipping students and professionals with practical data‑science skills.

Proof of Concept (PoC) for Generative AI

• Project Leadership & Technical Lead: Managed end-to-end PoC engagements—scoping with clients, defining objectives, and delivering demonstrators that showcase business value.

• Azure-based AI Validation: Deployed and configured Azure environments to conduct prompt engineering and Retrieval-Augmented Generation (RAG) experiments.

• Prototype Design & Delivery: Architected, developed, and handed over prototype applications integrating generative AI models.

• Value Creation Commitment: Collaborated directly with client stakeholders to translate business challenges into technical requirements and ensured PoC outcomes aligned with their strategic goals.

Apr., 2024 – (Present)

Graduate School of Mathematics,
Kyushu University, Japan.

Advisor: Prof. Shuichi Kawano

Apr., 2019 – Mar., 2021

Department of Computer and Network Engineering, Graduate School of Informatics and Engineering,
The University of Electro-Communications, Japan.

Degree: Master of Engineering (as valedictorian in the department)

Advisor: Assoc. Prof.  Shuichi Kawano

Dissertation: Tensor Common Component Analysis based on Kronecker Product Representation

Apr., 2015 – Mar., 2019

Department of Communication Engineering and Informatics, Faculty of Informatics and Engineering,
The University of Electro-Communications, Japan.

Degree: Bachelor of Engineering 

Advisor: Assoc. Prof.  Shuichi Kawano

Dissertation: リーマン多様体上における多変量低ランク回帰モデルの推定

Apr., 2012 – Mar., 2015

Tokyo Metropolitan Kunitachi Senior High School (東京都立国立高等学校)

Statistical machine learning, Sparse modeling, Dimension Reduction, Causal Inference.