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JackGP13/README.md

Intro:

Former Navy helicopter pilot turned data scientist. The job titles changed; the habit of digging through the data to figure out what's actually going on didn't.

Currently:

Building toward a masters in Data Science. Working on a local LLM-powered personal finance tool (transactions stay on your machine — that's the point).

How I got here:

Aerospace engineering undergrad → a decade flying helicopters and leading in the Navy → Haas MBA → supply chain and finance analytics at Lucid and Gallo → realizing the work I liked most was always the data problem underneath the business problem.

What's in the repos:

A marathon training analysis where I manually pulled Apple Health data to see if I could predict my race time (temperature turned out to matter more than mileage), a Rivian EV pricing analysis from Haas, and more coming.

Background/tools:

Python, SQL, Excel/Power Query. Comfortable with R. Running local LLMs on an Intel Arc GPU because apparently I enjoy doing things the hard way.

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