Top Shelf Facilitators
Meet The Modeling Agency’s Training Faculty
The Modeling Agency’s faculty is a talented group of data mining professionals with experience across industries and sectors. Each trainer is a thorough expert in both the strategic and tactical implementation of predictive analytics solutions.
However, that’s not where it ends. TMA’s trainers are pragmatic business consultants first. They possess the acumen to approach problems from a holistic viewpoint… one that ensures we don’t build excellent models that answer the wrong questions or are not interpretable.
Further, TMA’s faculty can shift pace, depth and orientation on the fly to target the sweet spot of the group. And to top it off, they bring a great deal of energy and enthusiasm to a topic that many would otherwise find dry. Participants frequently tell us that the enthusiasm is contagious.
KEITH McCORMICK is a highly accomplished professional senior consultant, mentor, and trainer, having served as keynote and moderator at international conferences focused on analytic practitioners and leadership alike.
Keith has leveraged statistical software since 1990 along with deep expertise utilizing popular industry advanced analytics solutions such as IBM SPSS Statistics, IBM SPSS Modeler, AMOS, Answer Tree, popular open source and other tools involving text and big data analytics.
Mr. McCormick has guided organizations to establish highly effective analytical practices across industries, to include public sector, media, marketing, healthcare, retail, finance, manufacturing and higher education.
He holds a very unique blend of tactical and strategic skill along with the business acumen to ensure superior project design, oversight and outcomes that align with organizational targets.
SANDRA HENDREN MS has over 30 years’ experience in analytics, data mining, analytic software development, and big data. Trained as a statistician, Sandra began her career in academia, but rapidly became frustrated at the lack of insight, innovation, and application of basic statistical principles to important real-word problems. Decades ago she left academia to take her expertise to the streets, developing breakthrough analytic technologies and game-changing statistical models to drive business excellence. The work that she pioneered – data mining, predictive analytics, and big data – are now all heralded as the core of sustainable competitive advantage.
Most recently, Ms. Hendren was Chief Data Scientist and Analytics Strategist for UnitedHealth Group, the 17th largest company in the nation. Previous positions include Founder and Managing Director of PerformaMetrics, a boutique firm that developed analytic-driven approaches to complex business problems; Managing Director of Hammer and Company, the business research and education firm of Dr. Michael Hammer, (author of the international best-selling book, Reengineering the Corporation); Vice President of Analytic Systems for Decision Support Technology, and Director of Analytic Software Development and Services for Health Data Institute.
Ms. Hendren has also held multiple adjunct faculty positions, most recently as Senior Lecturer of Strategic Management at Harvard University. She holds a M.S. in Psychometrics (a statistical computing degree) and a B.A. in Psychology, both from the University of North Carolina at Chapel Hill.
SCOTT TERRY is a multi-talented industry veteran with 30 years of experience on both the client and services side of data mining, predictive analytics and database marketing.
Scott’s senior leadership experience includes serving as Vice President of Marketing for Home Shopping Network where he led its teams of data miners and researchers. And he served as Leader of Corporate Marketing for Acxiom, Inc. In other capacities, Scott has held the title of President at a leading data mining services company and served as Senior Director of Business Intelligence for Hyphos360 (now part of AccuData). He also was an early pioneer of the database marketing industry while with Holiday Inns, Inc. where he also held the title of Senior Corporate Statistician.
Scott’s expertise is wide, deep and based in the real world. He has worked with major industries in the field of econometrics to help them model and understand the determinants and forecasting of supply and demand. He’s an expert in predictive analytics, having applied his modeling skills to help many major corporations improve their acquisition, conversion and retention. He has worked with entities in anomaly detection to help them detect and reduce levels of abuse and fraud. And he has applied his skills in clustering and association analysis to help web companies and retail establishments improve their customer experience and drive incremental profits.
As foundations for success, Scott received academic scholarships which he turned into an honors degree in the Quantitative Arts and Sciences. But he also has a creative side, having also received scholarships in the Arts. In combination, these two sides have earned the reputation as a gifted quantitative strategist with intuitively creative and prescriptive problem-solving abilities. As a result, his work is award-winning and he has been an in-demand industry lecturer, teacher, and mentor throughout his career.
PATRICK ROONEY, PhD is a proven professional with over 20 years experience in deriving insight from statistical data analysis and modeling. His expertise in quantitative analysis and statistical modeling has helped clients in retail businesses, financial services, and software industries to optimize their marketing and merchandising activities.
At Nordstrom for fourteen years, Patrick has supported decision-making throughout the organization using mathematical and statistical techniques . He has developed methods to evaluate the impact of promotions, without the use of control groups, and worked on recommendation systems for personalizing the online customer experience.
Before working at Nordstrom, Patrick was a senior consultant with David Shepard Associates and Agora Marketing, serving the marketing community with quantitative analysis and statistical modeling services that increased the profitability of marketing efforts, as well as database design that enabled analytics around marketing.
Prior to that, Patrick was at Citicorp POS Information Services where he helped pioneer the integration of the disciplines of database marketing and UPC scanner panel analysis. While there, he helped develop products that, for the first time, allowed packaged goods manufacturers to test direct mail coupons using scanner data from supermarkets.
Patrick holds a B.A. (with honors) from the University of California at Santa Cruz, and a Ph.D. in Experimental Psychology from Cornell University. He has been a speaker at the annual DMA conferences and has contributed articles to the Direct Marketing Analytics Journal and DM News.
THOMAS A. “TONY” RATHBURN has engaged with commercial and government clients internationally in the development and implementation of predictive analytics solutions since the mid-1980’s. Tony’s two-plus decades of real world experience makes him a highly sought after resource.