Data Scientist
CurrentBuilt a customer attrition random forest model that improved monthly retention by 11 basic points for clients likely to opt-out by providing relevant product features for them.Coordinated with product and marketing teams to determine what kind of i result interactions resulted in maximized service opt-ins, increasing conversions by 16%.Partnered with product team to create a production recommendation engine in Python that improved length on-page for users with $240,000 in incremental annual revenue.Compiled and analyzed data surrounding the prototypes for a prothesis, which saved over $1M in its creation.