Dean Abbott

Dean Abbott

Co-Founder and Chief Data Scientist at SmarterHQ


Dean Abbott is an internationally recognized data mining and predictive analytics expert with more than two decades of experience applying advanced analytics solutions for public and private sector customers. He is the author of “Applied Predictive Analytics” (Wiley, 2014), co-author of the “IBM SPSS Modeler Cookbook” (Packt Publishing, 2013) and contributed a biographical chapter to “Journeys to Data Mining: Experiences from 15 Renowned Researchers” (Springer, 2012). His case studies have been presented at numerous analytics conferences (Predictive Analytics World, INFORMS, Gateways Analytic Network, IE Group and TDWI) and in analytics books (“Predictive Analytics” by Eric Siegel, “The Power of Habit” by Charles Duhigg, and “Investigative Data Mining for Security and Criminal Detection” by Jesus Mena). Dean has also been recognized as a top ten data scientist worldwide and one of the top ten most influential people in data analytics.

He is on the advisory board for the University of California Irvine Certificate Program in Predictive Analytics and the University of California San Diego Certificate Program in data mining, and is a regular instructor for courses on predictive modeling algorithms, model deployment and text mining. He has also served several times on the Industrial Track program committee for KDD Conferences.

Dean earned a Bachelor of Science degree in Computational Mathematics from the University of Virginia, as well as a Master of Applied Mathematics from the University of Virginia.



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Silicon Valley Innovation Center has started the new INNOVATION INSIGHTS speaker series. Geared toward professionals, entrepreneurs, executives and founders this business forum is all about innovation, leadership and business growth. We invite prominent thought leaders, innovators, authors to lead engaging discussions which facilitate open exchange of ideas and viewpoints, and to share practical tools that encourage business growth through innovation.


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