Speakers

Session Speakers

The following are confirmed speakers for Analytics 2013. This page is updated often so please check it regularly.

Bart Baesens, University of Southampton (United Kingdom)
Joe Bartling, HR Block
Goutam Chakraborty, Oklahoma State University
Jack Chen, Dell
Hai Chu, Disney
Sven Crone, Lancaster University
Nick Evangelopoulos, University of North Texas
Dmitriy Khots, West Business Solutions
Mahesh Kumar, Tiger Analytics
Kim Larsen, MarketShare
Frank Ohihorst, Independent Writer
Bart Baesens Bart Baesens is an Associate Professor at K.U. Leuven (Belgium) and a lecturer at the University of Southampton (United Kingdom). He has done extensive research on predictive analytics, data mining, customer relationship management, Web analytics, fraud detection, and credit risk management. His findings have been published in well-known international journals (e.g. Machine Learning, Management Science, IEEE Transactions on Neural Networks, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Evolutionary Computation, Journal of Machine Learning Research) and presented at international top conferences. He is also co-author of the book Credit Risk Management: Basic Concepts, published in 2008. He regularly tutors, advises and provides consulting support to international firms with respect to their data mining, predictive analytics, and credit risk management policy.

For more details, see www.dataminingapps.com, Twitter: DataMiningApps, Facebook: Data Mining with Bart
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Jack Chen is currently the Marketing Decision Science Manager at Dell. Before this role, he spent time as a Marketing Research Consultant and a Credit Risk Consultant at Dell.
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Nick Evangelopoulos Nick Evangelopoulos is an Associate Professor with the Department of Information Technology and Decision Sciences at the University of North Texas. His research interests include statistics and text mining. Evangelopoulos has published a number of research articles that appear in prominent journals, as well as national and international conference proceedings. His publications include articles in MIS Quarterly, Communications of the ACM, Communications in Statistics – Simulation & Computation, Computational Statistics & Data Analysis, as well as a book that is part of the Springer Briefs in Computer Science series. Evangelopoulos has taught a number of courses in business statistics, management science, advanced Java and object-oriented rogramming, and data mining. He is currently a member of the Decision Sciences Institute and a Fellow of the Texas Center for Digital Knowledge. Evangelopoulos has a doctorate from Washington State University.
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Dmitriy Khots Dmitriy Khots, PhD, is an advanced analytics professional with more than 10 years of experience across a broad spectrum of industries, including communications, finance, health care, government, and oil and gas. Khots is currently the Director of Analytic Insight at West Corp., where he oversees a group of high-caliber analysts who apply data mining and optimization techniques to solve businesses' hottest problems in B2B and B2C sales and collections, call center optimization, process control, and anomaly detection. Khots graduated from the University of Iowa with a PhD in mathematics, where he taught applications of mathematics to business and published work on mathematical theory of data mining. He received his double bachelor's degree in mathematics and business management, graduating with honors from the University of Iowa. Khots is a prolific writer, with two patents and more than 40 publications in theoretic and applied fields of mathematics, as well as data mining and statistics. Khots is a member of American Mathematical Society and the Institute for Operations Research and the Management Sciences.
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Mahesh Kumar Mahesh Kumar is the founder and CEO of Tiger Analytics, a boutique consulting company that focuses on applying advanced data analytics in the fields of retail management, online advertising and social media marketing. Prior to founding Tiger Analytics, Kumar was on the faculty at the University of Maryland's Smith School of Business and at Rutgers Business School. He has conducted research in the areas of data mining and statistical modeling and has successfully applied his research to solve problems related to forecasting, pricing, promotions and customer segmentation. He has extensive consulting experience with companies such as McKinsey & Company, SAS, JC Penney, Levi's, ProfitLogic, LucidMedia, Compass Labs, TTX and Predictix. Kumar holds a PhD in operations research from MIT, a post-doc in marketing from MIT Sloan, and a bachelor's degree in computer science from the Indian Institute of Technology, Mumbai.
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