At PRESS GANEY, I manage a four-person data science team building predictive analytics and applied machine learning products for Medicare Star Ratings and healthcare quality initiatives. I develop classification and regression models with XGBoost and work hands-on with data preparation, feature engineering, Python, and PySpark.
I expanded the team’s delivery from approximately one project annually to multiple concurrent initiatives, and established a roadmap for increasing predictive analytics capacity. I also work with product, analytics engineering, dashboard delivery, and consulting teams to bring predictive outputs into existing products.
At BEAM, I served as VP of Data Science & Analytics and previously as Director of Data & Analytics. I created and oversaw financial and data models for core company KPIs, automated billing and reconciliation processes, and led development of a document classification system and a Python toolkit for administering dashboards as code.
Earlier, at Facebook, I tech-led a Python library for detecting classifier-based shift and drift, and contributed to advertising measurement work that informed official measurement products. At Duolingo, I introduced analytical methods for evaluating marketing performance, and at Spotify I contributed insights to advertising strategy and investment priorities.
