Chief Data Scientist
Dean Abbott is chief data scientist at Wunderkind. Mr. Abbott is an internationally recognized expert and innovator in data science and predictive analytics, with three decades of experience solving problems in customer analytics, fraud detection, risk modeling, text mining, survey analysis, and many more. He is frequently included in lists of pioneering and influential data scientists.
Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and coauthor of The IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a popular keynote speaker and workshop instructor at conferences worldwide and serves on advisory boards for the UC/Irvine Predictive Analytics and UCSD Data Science Certificate programs.
He holds a bachelor's degree in computational mathematics from Rensselaer Polytechnic Institute and a master's in applied mathematics from the University of Virginia.