Dean Abbott is President of Abbott Analytics and currently is the Bodily Bicentennial Professor in Analytics at UVA Darden School of Business. He is an internationally recognized thought leader and innovator in data science and predictive analytics with more than three decades of experience solving problems in customer analytics, fraud detection, risk modeling, text mining, survey analysis and is frequently included in lists of the top pioneering and influential data scientists in the world.
Mr. Abbott is the author of "Applied Predictive Analytics" (Wiley, 2014, 2nd Edition forthcoming) and coauthor of "The IBM SPSS Modeler Cookbook" (Packt Publishing, 2013). He is a popular keynote speaker and bootcamp/workshop instructor at conferences worldwide and serves on advisory boards for the UC/Irvine Predictive Analytics and UC/San Diego Data Science Certificate programs. Mr. Abbott holds a bachelor’s degree in computational mathematics from Rensselaer Polytechnic Institute and a master’s degree in applied mathematics from the University of Virginia.
Here's How Dean Can Help
I can help you uncover how to apply advanced analytics and machine learning to real-world problems, find hidden gems in your data, and communicate findings in language the business understands.
Books by Dean
A professional in his field, Dan has authored/ co-authored several books to help everyone in the data analytics path. Be it a newcomer or you’re just looking to extend your wealth of knowledge, I got you covered.
Partner: Seer Analytics; Survey analysis, likelihood to renew, recommend to a friend, satisfaction
Partner: The Modeling Agency;
Noncompliance for large corporate tax returns: S-Corps (F1120S), Partnerships (F1065), C-Corps
Partner: Elder Research and IBM; Predict candidates who will continue Phase I training through Hell Week; Optimize candidate selection for Chief Petty Officer review.
Partner: The Modeling Agency; Ensemble modeling for upsell modeling, subscription modeling
Parter: Elite Analytics; Predict tax owed by non-filer, age and recovery potential of tax debt
Partner: Intelligent Automation Corporation; Predict LD50 toxicity likelihood for compounds based on chemical structure.
Partner: Orincon; Predict likelihood of future severe failure of engines
Partner: Elder Research; Identify invoices likely to be suspicious/improper; Identify government credit card misuse
Partner: Elder Research; “Optimal IT”; model IT support bottlenecks and optimize prioritization of tickets
Partner: The Modeling Agency; Likelihood to respond to contact; customer segmentation
Cross-sell and churn modeling; data scientist hiring process/test
Partner: The Modeling Agency; Medicare customer acquisition.
Partner: The Modeling Agency; Predict new subscriptions, renewed subscriptions; subscription forecasting
Partner: Elite Analytics; Predict age and recovery potential of tax debt
Partner: The Modeling Agency; On-time likelihood models
Partner: The Modeling Agency; Metadata analysis to determine if Ragweed is resistant to Roundup (presented at Southern Weed Society conference)
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