About
Travis is a principal data scientist on Fidelity Center for Applied Technology’s Data Science and Engineering team. His specialties include natural language processing, time series forecasting, and building data pipelines. Travis also has domain expertise in blockchain technology and smart contract development through his contributions to Sherlock Analytics, a crypto data product developed in FCAT. Prior to joining Fidelity, Travis worked in environmental and agricultural policy economics. He holds an undergraduate degree in Business and Economics from UNC Charlotte and a MS in Analytics from NC State University.
