founding engineer for Responsible Machine Learning, working across ML teams at Stripe to decrease systemic barriers to economic participation and play an active role in equalizing access to the internet economy.
optimizing how payments are presented to card networks to maximize authorization rates while controlling impacts on costs and fraud
founding manager of the Merchant Forecasting team, focussing on merchant-level loss prevention (through the begining of the pandemic-induced economic upheaval
transaction fraud modeling (Radar product), merchant fraud modeling, card testing detection
recommendation systems to match clients with expert consultants
studying the early universe using light from distant quasars
My experience includes: python (scipy, numpy, pandas, sklearn, jupyter), ruby, scala (spark, scalding), SQL, decision theory, machine learning, Bayesian inference (probabilistic data analysis), Markov chain Monte-Carlo algorithms (MCMC), data visualization (Matplotlib, d3, ggplot).