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Reasoning, drafting, code review at speed.
Currently engaged Oregon Department of Education Business Intelligence Analyst · Since Dec 8, 2025 Epsilon Labs
Decision-grade statistics, scoped to ship.
I help teams design experiments, build predictive models, and stand up the analytics behind real decisions. Documentation that survives an audit. Tooling your team can keep using.
What I do
Four practice areas.
All services →Statistical analysis & modeling
Experimental design, hypothesis testing, regression, and Bayesian inference for questions that deserve careful answers.
Predictive modeling & ML
Classification, forecasting, and risk scoring with proper validation. Models built to hold up under audit.
Interactive dashboards
Self-service decision tools your team can poke at without me in the room.
Reproducible reporting
Pipelines that document their assumptions, version cleanly, and produce the same numbers next quarter.
AI-native
Models I work with daily.
Frontier models are not optional anymore. I use them every day — for code, for drafts, for analysis pairing — and I know how to tell when they're confident versus when they're guessing.
Claude
Long-context analysis, careful writing, hard problems.
Gemini
Multimodal exploration, large doc ingestion, fast iteration.
I treat models as collaborators, not oracles. I write the prompts, run the evals, and validate the output against ground truth before anything ships.
Recent work
Selected projects.
All projects →
Dashboard
UK Traffic Accident Trends
An interactive dashboard for exploring incident patterns — filters, dynamic views, defaults that surface signal first.
Statistical modeling
Multivariate Analysis: Wine Quality
PCA and supervised models with diagnostics to separate signal from noise across correlated chemical features.
Geospatial dashboard
Yelp Business Reviews
A spatial review explorer with map-linked filters, density layers, and per-business summaries.
How I work
Four things you can expect.
Decision-focused
Every analysis answers what should we do next — not just what happened.
Explainable
Validated with proper holdout and cross-validation. I default to interpretable methods so stakeholders can trust the answer.
Reproducible
Documented assumptions and reruns that produce the same numbers next quarter — or tell you precisely why they can't.
Production-minded
I ship lightweight tools, instrument usage, and iterate so the work compounds instead of fading.
Hire me
Have a question worth answering carefully?
Send the question, the data you have, and when you need the answer. I'll reply within two business days with next steps — or a referral if I'm not the right fit.
Backed by graduate training in Statistics (M.S., Oregon State) and Data Science (M.S., Willamette) — the foundations live underneath every model and every report.