Jeff is a data scientist with experience in machine learning, management science, natural language processing, and data visualization. He uses tools such as Python, R, SQL, GIS, and Microsoft Power BI to apply advanced analytics and modeling, answer business and policy questions, and generate high-impact dashboards and data visualizations.

At Westat Insight, Jeff supports projects for the U.S. Department of Education, the U.S. Department of Labor, the U.S. Department of Veterans Affairs, the National Science Foundation, and other clients. His work entails using natural language processing to improve machine learning algorithms classifying text documents, using Python to create automated reports and data visualizations, and using SAS to run statistical tests and analyses on survey data.

Earlier, Jeff was a science teacher in two school districts, where he helped develop curriculum and lead professional development for fellow teachers. Jeff earned his M.S. in public policy and management with a focus on data analytics from the Heinz College of Information Systems and Public Policy at Carnegie Mellon University.