Summary
Sarah Shy is a Senior Data Scientist with nine years of experience and a strong academic foundation as a PhD candidate in Statistics at Penn State, specializing in uncertainty quantification and astrostatistics. She builds practical, reusable data science tools and applies them at scale in Windows data teams at Microsoft, backed by prior internships across Azure and NASA Goddard. Comfortable in R, Python, PySpark, SQL and Power BI, she bridges rigorous statistical research with production ML and large-scale data engineering. Her background includes diverse research in remote sensing, NLP, and human-centered computing, which informs a multidisciplinary approach to problem solving. Based in the Greater Seattle Area, she combines deep methodological know-how with a track record of delivering actionable insights in both research and industry settings.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at Penn State University
Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at Carnegie Mellon University
English, Chinese, Hebrew