Created cloud-based user-facing tools from end-to-end including scoping, front-end design, database design, data ETL and queries, testing, deployment, and maintenance. These tools led to a rapid decrease in manual time required for routine analyses.

Led analyses using machine learning methods for regression, classification, and topic modeling to bring stakeholders data-driven insights which were used to make key business decisions (e.g., pursuing new drug programs in particular disease areas and informing go-forward strategy for marketing and finance teams).

Developed expertise in 4+ distinct patient Claims and EHR datasets each including use of numerous medical ontologies and TB-scale relational databases. Rapidly became data science team lead in using this data to provide stakeholders with clear, expeditious analyses which streamlined the process for assessing product markets.

Interviewed and onboarded new data scientists and engineers, helping to build a diverse and effective technical team in a growing company.