As a data scientist at Cadeo, Eric brings years of expertise to Cadeo’s most challenging quantitative projects. His experience using machine learning techniques to solve business problems brings a unique skillset to Cadeo. Since joining Cadeo, Eric has developed customer scorecards to predict the adoption of residential energy-efficiency technologies. In addition to developing predictive models, Eric has increased the efficiency and accuracy of the processes Cadeo uses to determine program participation levels and market performance from distributor sales data. Though these activities are complex, Eric’s visualizations and clever analogies effectively communicate their intricacies.
Prior to joining Cadeo, Eric was a consulting director at Corios. While there, he built tools and processes to help clients in the utility, financial services, insurance, and retail industries to unlock the power of analytics. This allowed the clients to gain a deeper understanding of their businesses and better serve their customers. Eric has also worked as a research scientist for the Army Corps of Engineers. There, he modeled the animal movements in certain ecological spaces to ensure that large-scale construction projects minimized harm to wildlife. Eric’s diverse research lab work experience also includes working on flight training simulations and evaluating the effectiveness of human-robot teams. In the latter, he worked to allow robots to make more human-like decisions and reduce “cognitive overload” in decision-makers.
Eric holds a Ph.D. in Cognitive Science and Cognitive Psychology from Indiana University and B.S. degrees in Computer Science and Psychology from Arizona State University. Eric enjoys Lego building with his young children and landscaping whenever the temperamental Oregon weather allows.