Problem solver that uses data, statistics, modeling, visualiza-tion, and effective communication to help drive decisions and answer tough questions on US housing policy. Loves his pets and travel! Experienced Data Scientist with extensive experience in leveraging R and Python to drive multi-billion dollar key business decisions to improve US housing policy. Skilled in designing and developing end-to-end pro-cesses for calculating and reporting on critical C-Level KPIs with Redshift, R, Python, and SQL. Proficient in leveraging statistics, data visualization, and ML to deliver clear takeaways to a wide array of audiences on complex issues in a timely manner. Track record of creating internal R packages with unit testing to aid team members analyses.