I'm a freelance data scientist and engineer. I take the messy data your business already has — and turn it into models, pipelines and dashboards your team can actually use.
Most data problems don't fit neatly into one job title. I cover the full stack — from raw collection to the decision it informs — so you don't have to coordinate three contractors.
Predict, classify, segment, forecast. Built to be measured against a real baseline — not just demoed.
The plumbing that gets clean, trustworthy data to the right place on schedule — and tells you when something's wrong.
Dashboards and analysis that make the next decision obvious — defined around the metrics that actually move your business.
No surprises and no lock-in. Each stage has a defined output you can review before we move on.
A short paid discovery, or a free intro call. We agree the question, the data available, and what a useful result looks like — in writing.
I work in focused increments with regular check-ins. You see progress early; scope stays flexible without becoming a moving target.
Every model or pipeline is tested against a baseline and documented. We confirm it does the job before it goes anywhere near production.
You get clean code, documentation, and a walkthrough — so the work keeps running whether I stay involved or not.
Chosen to fit the problem and your existing setup — not the other way around.
I spent years working with data inside teams — and saw how often good data work stalls between the people who have the data and the people who need the answer.
Now I work independently with small and mid-sized businesses that need serious data capability without hiring a full team. You get one accountable person who can model the problem, build the pipeline, and explain the result in plain language.
I care about work that ships and keeps working after I leave. No black boxes, no jargon for its own sake — just clear, durable results.
Tell me what you're trying to figure out. I'll reply within two business days with whether — and how — I can help.