Data Scientist at the intersection of advanced statistical analysis, data engineering, and product. I am the lead data scientist on a cross-functional team responsible for our ETL pipeline, which takes raw consumer transaction data and identifies and extracts important features, imputes missing data, models and applies bias corrections, and predicts future behavior, all at scale. I have a PhD in astronomy, with a strong background in physics, math, statistics, and machine learning, and am passionate about using data to solve complex problems and answer the most important questions.