Christopher Sweet

Christopher Sweet is an accomplished data science professional with extensive experience in leadership and technical roles. Currently serving as the Senior Manager of Data Science at Hagerty, Christopher manages two geographically diverse teams and is focused on advancing the company's technology stack with machine learning and large language models. Previous roles at Hagerty include Lead Data Scientist and Senior Data Scientist, where Christopher standardized model deployment and mentored junior staff. Prior to Hagerty, Christopher was a Vehicle Data Scientist at Motive and a Data Scientist at Booz Allen Hamilton, specializing in remote sensing and telematics. Christopher also has experience as an adjunct professor and has held engineering positions at The Aerospace Corporation and United Technologies. With a comprehensive educational background in Computer Engineering from the Rochester Institute of Technology, Christopher combines technical expertise with a passion for photography and storytelling through contract photography services.