Nicholas Wegman leads the AI product development group at antuit.ai responsible for building the forecasting and optimization algorithms underpinning all antuit.ai’s products.
He has extensive experience using machine learning and data science to solve analytical problems for retailers and CPG companies. He has worked with the full gamut of consumer demand including department stores, grocery, food and beverage, tires and automotive, cosmetics, drugstores, and fashion apparel.
Nicholas joined antuit.ai in June 2013, working as a data scientist for our delivery team and a Go-To-Market lead for forecasting prior to taking on his current role. Before joining antuit.ai, he worked as a mathematics professor at a liberal arts college in the Midwest.
Nicolas holds a doctorate in mathematics from Purdue University.