Product data science
Tokyo, Japan
I design experiments, size opportunities, and make product decisions with the economics attached.
Most recently at Mercari, after Google and Cisco. My work sits between product data science, marketplace growth, and the moment a team has to decide what happens next.
De-identified operating decisions, using only results I can discuss publicly.
Designed the strategy end to end: segmented the opportunity, sized the upside, built measurement into the rollout, and owned the operating decision.
Set the failure criteria before launch, monitored the economics, and ended the program when it crossed the stop line. The result was a decision, not a flattering readout.
The short version. LinkedIn has the chronology; this is the shape of the work.
Experiment design, causal measurement, segmentation, financial sizing, and launch decisions.
Decision support inside a global product organization with data at operating scale.
The analytical and stakeholder discipline behind repeatable business decisions.
US citizen, open to relocating for the right role.