Sarah is a data scientist with experience in leading teams and solving complex problems. She holds an M.S. in Analytics from North Carolina State University and a B.S. in Biology, B.A. in Global Studies with Distinction, and a minor in Chemistry from the University of North Carolina. As Lead Data Scientist, Sarah develops and maintains a global product used by hundreds of users, utilizing Python, Azure, Agile, and version control. She collaborates with clients of varying technical expertise, focusing on automation and addressing key challenges. Her work includes analyzing large property portfolios to inform investment strategies and building an AI pipeline to analyze documents and store data in SQL.