Analyst's rigor, builder's instinct.

I'm Matthew Dettman, a builder and analyst based in Clarksburg, West Virginia. I take projects end to end, from discovery and requirements through design, build, deployment, and validation.

Most of my work is business analytics: the dashboards, data pipelines, and automation that turn a company's own data into decisions it can act on. That runs from a multi-app analytics platform that reads a small business's accounting data and explains it, to reverse-engineering a wealth-management firm's monthly risk indicator from a manual spreadsheet into an automated R pipeline, to sixteen economic and market dashboards that re-pull public data on every build so a published figure cannot go stale. I lean on Python, R, SQL, Power BI, and Firebase, and on LLM integration where it earns its place.

The domain depth under that is a decade in regulated financial services. At a national broker-dealer I moved from field branch examinations, roughly a hundred a year, to regional supervision reviewing advisor-managed portfolios that internal controls had flagged, and then to the supervisory-controls team that builds the reports and monitoring the supervisors themselves run on. It is a specialty I can go deep on, and it is where I learned to care about the things that make analytics trustworthy.

That is the reason I care about false positives and about getting a number right. A rule that flags everything is the same as a rule that flags nothing, because a review queue has a fixed budget. The same discipline shows up in the software: validation, edge cases, and reconciliation checks, so a dashboard's number ties back to its source. I hold an M.S. in Business Data Analytics from West Virginia University, plus the ChFC and CLU designations.

The through-line, and the shortest version of my resume: I build the analytics a business runs on, and I bring the rigor to trust the numbers it produces.