As a Data Scientist, Thomas is driven to build technologies that better people’s lives. Here at PrecisionLender, that manifests itself in improving and developing “Andi”, the virtual analyst that offers suggestions for each potential deal. His goal is to help lenders improve relationships with their customers by providing them with valuable insights they wouldn’t have had otherwise.
A graduate in economics from the University of Washington, Thomas spent two years at Amazon on the Prime and Kindle Content teams as a financial analyst before pursuing his dream of becoming a data scientist. After leaving Amazon, he self-studied machine learning through MOOCs and data science competitions on Kaggle. We admire his dedication, and we are thrilled to have him on the team.
In his spare time, Thomas enjoys hiking with his fiancé and Jack Russell Terrier. He also loves reading about technology and entrepreneurship.