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Summary

A highly motivated and analytically driven individual with a strong foundation in data science, quantitative analysis, and strategic problem-solving. Certified at the highest level in Statistics (Japan Statistical Society Certificate, Grade 1), I bring advanced analytical rigor to tackle complex business challenges. My academic research, internationally recognized and presented at leading conferences, reflects my ability to apply AI and data-driven approaches to real-world issues. As a visiting researcher at the University of California, Davis, I have further broadened my global perspective and cross-cultural collaboration experience.

While my academic work has focused on healthcare AI, my core strength lies in breaking down complex problems, identifying key drivers through data, and delivering actionable insights—an approach directly applicable to management consulting. I am passionate about leveraging data and structured thinking to support clients in making high-stakes strategic decisions across industries.

Fluent in both Japanese and English, I thrive in global, cross-functional teams and am eager to contribute to a dynamic consulting environment where analytical rigor, client impact, and innovation intersect

Skills

  • Statistics

    JSSC Grade 1

  • Technical Skills

    Python, SQL, Java, C

  • Languages

    Japanese (Native), English (Fluent – TOEFL 89)

Education

Keio University

Faculty of Science and Technology - Bachelor of Computer and Information Science

2021 - 2025

GPA 3.56

Graduated: March 2025

University of California, Davis

Electrical and Computer Engineering - Visiting Scholar

2025 - 2026

I will be engaged in research at UC Davis as part of the Aspire project

Keio University

Faculty of Science and Technology - Master of Computer Science

2025 - 2027

Expected Graduation: March 2027

Research

47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Efficient and Effective Fine-tuning Method for Depression Detection from Conversation

Role: First-author / Presenter

Work Experience

pluszero

Internship

March 2022 - Now

Developed a machine-learning driven app to support textbook-based study, improving recommendation logic via user behavior analysis.

Led UX improvement through user feedback sessions, collaborating with design and content teams.

Why I am interested in Mars & Co

I am excited to apply for a position at Mars & Co because of the firm's reputation for delivering highly customized, data-driven solutions to complex business challenges across industries. I am particularly drawn to Mars & Co’s rigorous analytical approach, which emphasizes deep quantitative analysis and strategic problem-solving to generate tangible client impact.

My academic background in data science, statistics, and machine learning equips me with a strong quantitative foundation for tackling complex business questions. Certified at the highest level in statistics (Japan Statistical Society Certificate, Grade 1), I have developed the ability to analyze large, complex data sets, extract key insights, and structure actionable recommendations — skills that I believe directly align with the analytical rigor and client-focused problem-solving approach that Mars & Co is known for.

While my research to date has focused on applying AI to healthcare, I am deeply interested in extending my analytical skills to solve diverse business challenges across industries, whether it be optimizing operations, evaluating growth strategies, or supporting critical investment decisions. What excites me most about consulting is the opportunity to apply structured thinking and data-driven insights to support clients in making high-stakes strategic decisions.

Having studied and conducted research both in Japan and in the U.S. as a visiting scholar, I also bring a global perspective and strong cross-cultural communication skills. I believe this background would allow me to thrive in Mars & Co's international and collaborative work environment.

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