You found me. I’m a data scientist who prefers simple, transparent methods. I also enjoy writing production code. Big fan of the t-test, SQL and Spark. Read more about my experiences on LinkedIn.
My general philosophy towards data science is that simple methods are usually sufficient. If they’re not, then it’s usually because the data are messed up, and I often prefer fixing the underlying cause of messy data rather than reaching for an advanced technique to paper over the fundamental issues. I enjoy data engineering and am willing to get my hands dirty to build a clean pipeline.
I care a lot about having a positive impact on society and am always on the lookout for opportunities with non-profits or local government agencies. If you know of any interesting openings, please reach out.
I’m currently at Stripe
Once upon a time I was a student at UNC-Chapel Hill where I worked on probability and networks with Shankar Bhamidi and Andrew Nobel. Here’s my thesis
Sometimes I come across cute problems that I think about and feel are worth writing up: