Daniel Ringel

Daniel Ringel is a managerial data scientist interested in creating insights into today’s large markets. His work is at the frontier of cross-disciplinary methodology and contemporary marketing problems.

His research interests include competitive analysis, data visualization, neural learning, unsupervised learning and the analysis of unstructured data.

He currently studies the evolution of markets, the attention economy, and temporal information in natural language processing. His goal is to provide firms with tools and models that inform their strategic decision making.

He received the 2018 EHI Science Award from the German Retail Institute as well as the 2017 German Science Award from the German Marketing Association for his impactful work to practice.

Dr. Ringel worked for more than 10 years in management consulting with a strong focus on marketing, e-commerce, product development and information technology.

He founded a retail and wholesale business in the hobby industry with own brands and product lines as well as production in China.

He received his PhD (summa cum laude) in marketing from Goethe-University Frankfurt, where he also earned his MBA in alliance with Duke’s Fuqua School of Business. He earned his BA in business and economics from Baden-Württemberg Cooperative State University.