Jay K. Hyer

Jay K. Hyer is a skilled Data Scientist with extensive experience in machine learning and data analytics across various organizations. Currently employed at PreciseTarget, Jay utilizes Spark and Python to analyze over 5 billion retail transactions, focusing on consumer shopping behaviors. Prior roles include designing predictive models at HelioCampus, building analytics data warehouses at the American Diabetes Association, and validating data models at The Advisory Board Company. Jay's background also includes business analysis at Fannie Mae and customer service at Capital One. With advanced degrees in Computational Science and Statistics from George Mason University, along with a foundational education in Economics and Political Science from the University of Utah, Jay demonstrates a strong analytical skill set and technical proficiency in data handling.