I worked on the Cost Modeling and Cost Integration teams. I created tools that facilitated accurate, timely estimations on network fees for our users. These tools helped save users millions yearly in fees by highlighting problematic transactions and providing insight to traffic. I additionally designed a pipeline that enabled Tech Operations teams to create new, complex rules without touching code, eliminating the engineer middle man between network representatives and Stripe data science experts.

I ran recitation sessions, created and oversaw course material, and managed office hours for a graduate level NLP class.

I worked on the Radar Machine Learning team to utilize advanced algorithms for fraud detection. I cross-collaborated to design and implement a pipeline that better analyzed models and produced them more efficiently. I also engineered experiments and dashboards to evaluate candidate models through incorporating internal data science tools.

I taught students of all years Python coding concepts and general intuition as well as graded assignments. I also debugged assignments and testing scripts for the automated grading infrastructure before distribution to students.