I’m a Data Scientist at The Home Depot, currently working on the Conversational AI team, focused on optimizing our contact center experience.

I am interested in how probability theory can be used to quantify uncertainty and improve decision making. As a part of the Conversational AI team at The Home Depot, my recent work has been focused on generative AI and Large Language Models.

As a student at the University of Arkansas, where I earned a Bachelor’s degree in Mathematics and a Master’s degree in Statistics, I was particularly interested in Bayesian statistical inference and forecasting for time series data and computational methods for fast Bayesian inference. This resulted in my Master’s thesis on Sequential Monte Carlo Methods for Hidden Markov Models. After graduating with my Master’s degree in Statistics join Black Hills Energy as a Data Scientist where I developed large-scale natural gas consumption forecasts.