Master of Sport Sciences
2023
Waseda University, Graduate School of Sport Sciences
Data Scientist · Marketing Analytics Consultant
Many companies now hold more consumer data than they are able to use. I work with purchase histories and product usage logs, which show what customers did rather than what they say they prefer, and identify which of those behaviours are worth building a campaign around.
Location: Yokohama, Japan
Most of my work begins from one of these three situations.
Segmentation & CRM strategy
Cluster and co-purchase analysis on actual purchase histories, to find the groups that really exist and identify which are worth investing in.
Behavioural log analysis
Device usage logs, settings data and purchase records establish real behaviour; causal inference identifies what drives it.
AI-driven marketing
Automating analysis workflows, accelerating Python-based data work, and building the material a team needs to use these tools well.
Recent engagements. All client work is carried out as an independent consultant.
The challenge
A business unit held large volumes of device and purchase log data, but had no reliable way to describe how customers actually used the product, and therefore no basis for deciding which behaviours its marketing should target.
What I did
Outcome
The business unit moved from planning on judgement to planning on evidence, with one set of measures both directing budget and testing afterwards whether it worked.
The challenge
A sake e-commerce brand wanted to build marketing capability in-house rather than keep buying analysis. Its customer segments no longer matched how people actually bought, and no one on the team could tell that from the data.
What I did
Outcome
The new personas broadened the sales strategy, and the team came away able to interpret its own customer data rather than waiting for the next report.
The challenge
A Japanese studio needed to reach a US audience across two products, a mobile app and a VR game launching on Steam, in a market where discovery runs through creators rather than paid media.
What I did
Outcome
Over 30,000 views in two and a half months, entirely organic and with no advertising spend, together with a feature placement on SideQuest.
The challenge
Working professionals learning machine learning and data science can find plenty of material explaining how a method works, and very little explaining what it is worth once applied to a business.
What I did
Outcome
Consistently among the platform’s top contributors, with strong feedback from a broad subscriber base.

My work sits between academic research and commercial practice. As an Adjunct Researcher at RISB, the Research Institute for Sport Business at Waseda University, I study the psychology and behaviour of consumers in professional sports. As a consultant, I apply the same quantitative methods to product and purchase data for companies in e-commerce, entertainment and gaming.
I also write in English and Japanese on where marketing and data science meet, including the gap between what consumers say they prefer and what their purchase records show.
Data Scientist (Independent Contract)
Sony Group Corporation
April 2026 – Present
Adjunct Researcher, RISB
Waseda University
August 2023 – Present
Independent Marketing Consultant
Self-employed
April 2023 – Present
Technical Content Author (Independent Contract)
SoftBank Group Corp.
February 2023 – February 2024
2023
Waseda University, Graduate School of Sport Sciences
Research grounded in consumer behaviour and psychology, including structural equation modelling (SEM), factor analysis, construct validity, and causal inference methods.
Articles on marketing and data science, grounded in real consumer behaviour data.
How businesses can decode complex psychological, economic, and ethical factors to align marketing strategies with real consumer behavior.
Read on LinkedInHow AI technologies revolutionize customer personalization, campaign ROI, and dynamic pricing, alongside the ethical and technical hurdles teams must navigate.
Read on LinkedInHow marketers can turn big data and predictive statistical models into reliable forecasts for customer retention, product recommendations, and campaign ROI.
Read on LinkedInI am open to consulting work and collaboration. If any of the below sounds like what you need, I would be glad to hear from you.
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