David Pojunas holds a master’s degree in statistics and analytics from the University of Arkansas and bachelor’s degrees in mathematics and computer science from Hendrix College. He brings to Demand Side Analytics a strong background in statistical modeling, machine learning, and programming. At DSA, David has gained hands-on experience analyzing large customer datasets to understand various energy response programs, customer behavioral patterns, and to create granular forecasts at different grid planning levels. Proficient in Python, R, Stata, and other software, David is dedicated to leveraging data-driven methods to modernize the electric grid and promote the advancement of renewable energy. Outside of work, you can often find him playing Ultimate or throwing a frisbee.