I build end-to-end data science pipelines: architecting, testing and productionizing statistical data analyses to inform good decision making. My fortes include strategic data featurization, explainable machine learning and result validation. I enjoy explaining technical concepts clearly to a wide variety of audiences.

Currently, I help make data and machine learning workflow orchestration with Apache Airflow more developer friendly and powerful. At Astronomer, we study the usage and painpoints of Airflow in order to simplify the open source software as well as build additional tooling to enrich enterprise data orchestration and empower data science professionals.