Hello there, my name is Paul Anzel! I’m a Data Scientist currently employed with H-E-B, building product recommendation systems and handling general data-science dev-ops work. Before that, I worked at Metromile, where I use telematics data to detect vehicle crashes and evaluate potential insurance fraud, and Wiser, doing price-demand estimation.
I did doctoral research (left ABD) in Applied Physics at Caltech with Chiara Daraio where I worked on developing a new type of acoustic imaging system for non-destructive evaluation. During my graduate research I received a NASA Space Technology Research Fellowship and a M.S. in Applied Physics. I have a B.S. and B.A. in Chemical Physics and Mathematics (respectively) from Rice University.
Outside of work I spend much of my time advocating for building housing. I now volunteer with San Antonio Neighbors For Everyone, and before that helped out with East Bay For Everyone. I am an instructor with Software Carpentry. I managed Caltech’s bicycle repair cooperative for three years, play accordion and piano, and have started getting into ham radio.
I live with my lovely wife Rose, infant son Isaac, and fussy cat Coltrane.
During my time at Wiser, I started a journal club to go over some techniques I wanted to learn more about, and to teach some of the other analysts some basic techniques (e.g. what a Fourier transform is). Upon moving to Metromile, I was pleased to see that they had an active study group there. Here is a collection of iPython notebooks where I go through implementing various algorithms myself and demonstrate their use.
Some ones I’m particularly proud of:
Inspired by Greg Wilson’s commentary that the state of software-development research is thin and poorly distributed on the ground, I did some investigation on my own looking into what research there is regarding software documentation. Long-story-short, there’s precious little. I attended the WTD conference to see if I could find any more, and ended up giving a lightning talk about how little we know and how to assess relevant scientific evidence.
I had some friends in grad school with whom I’d grab a Friday afternoon beer, and eventually I started rating the different beers we’d try. Many years and beers later, I’ve learned some interesting things about the beers I like.
An eight-person pedal-powered dining table. Project led by Daniel Busby, I provided many bicycle parts, ergonomic advice, and plenty of drilling and grinding.
Mapping and basic analysis of domestic violence programs in the Los Angeles area completed on request of a colleague.