analytics portfolio

hello! im riki!

here’s what you should know about me:

00. Full-stack analytics with economic policy background.
I have a Master’s in analytics from Georgia Tech and am a former IMF research analyst. I’ve spent 5+ years as a full-stack research and data person across economics and international policy institutions. Currently, I lead an ML project that predicts farmers’ adoption rates of agricultural training deployed for project teams.

01. I prototype, ship, and solve analytic problems.
I’ve designed, built, and deployed full analytic pipelines — from data pipelines and modeling to machine-learning interpretability, dashboarding, and automated reporting.

02. I like learning new things.
I try to continuously upskill in ML/AI tooling, and I’m learning more about scalable solutions. Previously, I used LangChain + ChromaDB to build an LLM-based app that assessed foreign investment suitability. Most recently, I wrote an essay about how camera resolution and distance affect facial recognition accuracy. Outside work, I do judo, volunteer in the DC Community Emergency Response Team (CERT), and am pursuing my amateur HAM radio technician license.

Check out my work above!

what I’m thinking about right now:

Point metrics don’t tell you whether the model outputs align with the observed data distribution.
I.e., if the model has a good (low) RMSE but predicts a noticeably different distribution, it might be overfitting the center and neglecting the tails. Distributional metrics help identify this.

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— riki (@rikimatsumoto.bsky.social) September 5, 2025 at 1:47 PM