Eric Perkins is a Vice President with Kaufman Hall’s Data Analytics practice. He develops data science tools and conducts analyses that assist clients with in-depth insights to drive timely, data-driven decision-making.
Eric previously worked as a Data Scientist with Edison Software. In that role, he developed analytical models, worked with distributed machine learning, and used extensive data cleaning and engineering to join data across platforms. Earlier in his career, Eric was a Research Assistant and a Cognitive Psychology Researcher at Stanford University. His prior experience also includes working in technical solutions at Google and in data analytics with TrueCar Inc.
Eric holds a B.S. in Symbolic Systems from Stanford University and a Masters in Data Science from the University of California Berkeley School of Information.