Coleton Potter

Coleton is an undergraduate student at Arizona State University, where he is studying Data Science and Economics. With experience in artificial intelligence, higher education, retail banking, lending services, and operations management, Coleton brings a diverse skill set to the ASU community. He previously studied Economics and Finance at Montana State University, where he also served as a teaching assistant, helping peers understand Macroeconomic concepts.

In his current role as a Finance Domain AI Prompt Engineer, Coleton works on refining Large Language Models (LLMs) for the finance sector, focusing on accuracy, utility, and safety. His work involves applying data science and economic principles to develop solutions that are not only innovative but also practical for real-world financial challenges.

Coleton is dedicated to academic achievement, consistently earning recognition on honor rolls. He actively seeks to blend his professional experiences with his academic studies, aiming to make meaningful contributions in data science and financial analysis. Coleton is focused on leveraging his analytical abilities and technological proficiency to drive insightful and strategic decision-making in these areas.