I build data systems that run every day, and the machine learning that sits on top of them.

Most of what I enjoy about this work happens before the modelling: collecting data, finding out what is actually in it, and getting it into a shape where a question can be answered.

I'm a data analyst at the Idaho Supreme Court. Most days that means writing and tuning T-SQL against large operational databases, building extracts that other people reuse, and checking reporting datasets against the systems they come from.

Before that I co-founded a company and ran it while finishing my bachelor's and a Master's in Computer Science with a Data Science focus. We took one product from an idea through a patent, manufacturing, marketing and day-to-day operations, and I built the data systems we used to run it. That is where I learned that the useful answer is usually the one someone can act on, not the one with the best score.

Before school I worked in warehouses and manufacturing, including a job building furniture and then driving it out to deliver it.