I build the pipelines I used to wait on.
I grew up around Tampa, studied data analytics at Florida Poly, and now I work as a data analyst at a credit union in Lakeland. Most days that means SQL. Most nights it means whatever dataset I can't stop thinking about. Lately that's been baseball contracts and a few hundred thousand Detroit property sales. I write the SQL and Python, build the pipelines that feed the analysis, and try to end up with something worth reading. Here's what I've been working on.
I didn't start in analytics. I started in digital marketing, where I learned pretty quickly that a chart nobody acts on is just decoration. That stuck with me when I moved into reporting. These days I build reports for people who don't want the model, they want to know what it means, so a lot of my job is turning messy numbers into a clear answer. On my own time I chase questions I'm genuinely curious about: which MLB teams get the most out of their payroll, or what a city's property records say about how its neighborhoods are doing. Some of it's polished, some of it's still in progress, and all of it's here.
Away from the screen, I grew up skateboarding and playing soccer and football. These days it’s fingerboarding, philosophy books, and long walks with my dog, Romeo.
Which position players returned the most value above market rate? Merged Baseball Reference WAR against contract salary at $8M/WAR to isolate where clubs got production they didn't pay for.
Pre-arbitration players dominate the top 20 — and one team finished negative. View on GitHubMLB's proposed 2027 cap and floor, measured against real team payrolls. An initial pass using cash payroll was rebuilt on CBT-consistent figures after a framework mismatch surfaced — which reversed the headline.
Cap burden is concentrated and transactional. Floor burden is broad and structural. View on GitHubDo teams that spend more actually win more? Wins per dollar across all 30 clubs, with efficiency tiers and a correlation test on the spend-to-win relationship.
r = 0.521 — real, but far from deterministic. View on GitHubHave a question about anything here, or a data problem worth talking through? Reach out. I’m always up for a good conversation about data.