Seattle, Washington, United States
Using machine learning and Gemini to predict real world map changes, including speed limits, lanes, and road signs
- Developed "Top 1% Fan" algorithm for viral February 2020 campaign, resulting in a 6% increase in conversion - Ran in-app experiments to optimize marketing strategy for Spotify Premium - Built production xgboost model in Python to predict churn for 100+ million users
- Built event pipelines for conversion modeling in PySpark - Maintained Shiny dashboards to visualize business performance and test results
- Identified search patterns and made visualizations with ggplot for our annual trends guide - Trained machine learning models in python to identify fraudulent payments
- Built dashboards in RShiny to visualize immigration patterns for DHS - Led hackathons and training sessions in R - Held security clearance
- Used NLP to analyze survey results on global healthcare trends - Built Shiny dashboard to predict NFL play calls
Ran time series stationarity tests to identify bubbles in the Colombian housing market