Speakers
Keynote Speakers
The following are confirmed keynote speakers for Analytics 2013. This page is updated often so please check it regularly.
As Co-Founder and CEO of Link Analytics, Will Hakes leads teams of world-class data scientists, statisticians, mathematicians, and consultants, ensuring that Link's Big Data Analytics solutions drive competitive advantage and lasting organizational change for clients. Will founded Link Analytics on the principle that the Big Data Analytics Revolution has only just begun, and that the productization of analytics is the key to solving high value problems faced by global businesses today.
Will's career has been dedicated to the application of advanced analytics, solving the most dynamic and complex problems across industries. He has led analytical powerhouse teams at Fortune 500 and small companies alike, and helped engineer integrated analytical solutions across a wide variety of verticals, with a particular emphasis on Communications and Financial Services. Prior to founding Link, Will was President of Advanced Analytics, a division of Aspen Marketing Services, and served as Chief Marketing Officer of AMC Inc, the world's largest wholesale trade exchange.
Will received his PhD in Decision Sciences from Georgia State University where he specialized in the application of quantitative methods to marketing problems. He received his MBA and MS from Georgia State University and his BS in International Affairs and Economics from Georgia Tech, graduating with Honors. He currently serves on several Boards at Kennesaw State University and is a Marketing Board member of the Technology Association of Georgia (TAG).
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 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
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.
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.
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.
Co-Chairs
Dr. Will Hakes, Link AnalyticsDr. Jerry Oglesby, SAS
As Co-Founder and CEO of Link Analytics, Will Hakes leads teams of world-class data scientists, statisticians, mathematicians, and consultants, ensuring that Link's Big Data Analytics solutions drive competitive advantage and lasting organizational change for clients. Will founded Link Analytics on the principle that the Big Data Analytics Revolution has only just begun, and that the productization of analytics is the key to solving high value problems faced by global businesses today.
Will's career has been dedicated to the application of advanced analytics, solving the most dynamic and complex problems across industries. He has led analytical powerhouse teams at Fortune 500 and small companies alike, and helped engineer integrated analytical solutions across a wide variety of verticals, with a particular emphasis on Communications and Financial Services. Prior to founding Link, Will was President of Advanced Analytics, a division of Aspen Marketing Services, and served as Chief Marketing Officer of AMC Inc, the world's largest wholesale trade exchange.
Will received his PhD in Decision Sciences from Georgia State University where he specialized in the application of quantitative methods to marketing problems. He received his MBA and MS from Georgia State University and his BS in International Affairs and Economics from Georgia Tech, graduating with Honors. He currently serves on several Boards at Kennesaw State University and is a Marketing Board member of the Technology Association of Georgia (TAG).
Jerry L. Oglesby is the Director of Higher Education Consulting and Global Certification within the Education Division at SAS. His department supports SAS in the university community primarily by introducing SAS training materials and software into university curricula. Prior to starting this group, Oglesby was Director of Analytical Consulting within the Professional Services Division. In that role, he grew the division from its formation to approximately 40 modelers and business analysts. This group was largely responsible for supporting the successful launch of SAS' award-winning data mining solution, SAS Enterprise Miner.
Oglesby holds a PhD in statistics from Texas A&M University, a master's in mathematics from Lamar University and a bachelor's in mathematics from the University of Mississippi. Before joining SAS in 1996, Oglesby worked at Monsanto Chemical Company and he was CEO and founding President of SCI Data Systems. Following completion of his doctorate at Texas A&M in 1971, he was a Professor of Statistics at the University of West Florida where he established the Institute for Statistical and Mathematical Modeling.
Oglesby serves on numerous advisory boards in support of statistics and data mining.
