David Martin

David’s background and experience in data science is broad and deep. Before joining Clear Demand, he worked in computational plasma physics and renewable energy. At Clear Demand he has advanced Retail Data Science in the areas of demand modeling and price, promotion, and markdown optimization. He specializes in scalable processing architectures that handle massive amounts of data. He has originated several new algorithms for market basket analytics. He leads a team of data scientists at Clear Demand including several Ph.D.’s from leading schools such as Stanford, Cal Tech, and Ga Tech.

Prior to joining Clear Demand, David spent several years teaching Physics and conducting research on perovskite photovoltaic signal processing at the National Renewable Energy Laboratory. David graduated from Wheaton College with a B.S. in Physics (summa cum laude), and holds a certificate of Data Science from Galvanize. He has a paper published in computational plasma physics from his undergraduate studies.