Meet TMA’s Faculty

TMA’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 coaches and 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.


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.


TIM GRAETTINGER, PhD is a highly experienced data mining professional with an exceptionally strong track record of innovation, creativity, and quality. For over 20 years, Dr. Graettinger has worked with clients to develop solutions to significant business problems in healthcare, insurance, marketing, and manufacturing.  Tim holds multiple patents for data mining inventions.

Previously, Tim was the Director of Analytics and Data Mining at Yankelovich, Inc., where he was responsible for strategic technology consulting and the design/development of premium data mining and web applications.

Prior to that, Dr Graettinger was Director of Research at the Institute for Software Research.  He was also a Vice President and Sr. Scientist at Analytika, Inc., a healthcare informatics company.  At Analytika, Tim managed and provided data mining consulting services for Fortune 500 health care and pharmaceutical clients, from account management to execution. Tim’s additional responsibilities included developing core data mining technology and software tools.

Finally, he was Vice President of Product Development at NeuralWare, a pioneering neural network software company.  Dr. Graettinger developed the strategic technical direction of the company and promoted the company in the marketplace. He managed all products, including NeuralWorks Professional II, DataSculptor, DANA, and NeuCOP (the Neural Control and Optimization Program). Tim led all internal research and development activities, client consulting engagements, and training.


T. SCOTT CLENDANIEL is a senior-level consultant with 16 years experience in CRM, eCRM, data mining, database marketing and strategic planning for such companies as Citigroup, Bristol-Myers Squibb, and The Royal Bank of Canada. Scott served as a Senior Staff Scientist at Maryland-based Neuristics, an artificial intelligence applications company. He was the Vice President of Consumer Strategic Planning and Analysis at the Bank of Hawaii and Vice President / Director of Credit Card acquisitions at CoreStates Bank of Delaware.

Scott has been developing and deploying data mining solutions since 1994 when he worked on the first custom predictive model for MBNA’s credit card acquisition efforts. Since then, he has been a practitioner, trainer, and national lecturer on the topic. He has combined that data mining experience with several web-based marketing efforts, most notably for Bristol-Myers Squibb, where he was responsible for designing and implementing the database aspects of web marketing for national pharmaceutical campaigns. Scott is a member of Baylor University’s CRM Corp of Experts.

Scott obtained his MBA from the University of Baltimore in 1990, and his BS from the same institution in 1996. Scott has become well-known for his unique combination of technical knowledge, “real-world” application experience, and a unique and colorful presentation style.


BEN A. HITT, PhD is a nationally recognized expert in data mining and pattern recognition solutions. He is the inventor and patent holder of numerous algorithms and computer programs. Dr. Hitt’s works include inventions for analyzing disparate data streams, near real-time analysis of audio and text information streams, applications for the detection of credit card fraud, optimization solutions for direct marketing problems and pattern recognition algorithms for early detection of disease. He instituted the Schenk Center for Informatic Sciences at Wheeling Jesuit University, is co-founder of several businesses

Dr. Hitt began his career as a biochemist specializing in drug metabolism and biochemical genetics. He became a Consulting Assistant Professor of Anesthesiology at Stanford University Medical School and Assistant Professor of Anesthesiology the University of Cincinnati Medical School, as well as a research chemist for the Veterans Administration Medical Center at Palo Alto.

He later held positions with Neuralware Inc., Advanced Software Applications, and American Heuristics, which he also co-founded. Dr. Hitt served as Senior Principal Software Engineer for Raytheon Systems, where he developed national security applications for his algorithmic work and held the position of Chief Science Officer at Correlogic Systems. Inc. During this period, he developed and expanded his concepts of employing algorithms in data mining and other complex problem-solving applications. Progressing from his initial work with neural networks, Dr. Hitt incorporated genetic algorithms and related analytical techniques into his later inventions.

Dr. Hitt was a post-doctoral research associate at Stanford University Medical School. He received his Ph.D. in Biochemistry from West Virginia University in 1970, and his B.S. in Biology and Chemistry from West Liberty State College, in West Virginia, in 1966. He has published over 40 scientific papers based on his research and development experience.


Each TMA senior consultant possesses three main qualities. First and most obviously, they are experts in machine learning methods, tools, tactics and techniques.

Secondly, they are strategic consultants who hold the acumen to efficiently assess each situation in view of the organization’s situation, resources, environment, culture and analytic objectives.

Thirdly, each consultant possesses natural soft skills to serve as an analytic lead. In this lead role, they bridge the vision of top leadership with the capability of managers, data scientists, subject matter experts and the BI team to stand up a self-sustaining operation to drive residual organizational benefit.
The intersection of these traits arrive an extremely rare individual. Maintaining a team of over a dozen senior analytics leaders makes TMA uniquely positioned to enable clients across industries to truly drive transformative value with machine learning.
Given this platform for TMA’s bench, industry strengths for each senior mentor listed below reflecting specific areas of expertise.

TMA’s Senior Consulting Team

Fraud Detection, Bio-informatics, Predictive CRM Analytics, Telecommunications, Signal & Image Processing, Guidance and Control

Enterprise Business Analysis & Transformation, Behavioral Modeling, Performance Measurement, Optimization, Applications Portfolio, Projects, Change & Risk Management

Banking, Healthcare, CRM Analytics, eMarketing and Online Personalization, Response Modeling, Database Design, Modeling Implementations

Retail, Consumer Packaged Goods, CRM Analytics, Project Management, Application Discovery Processes

Business Forecasting, Credit Scoring, Churn Analysis, Campaign Management, Fraud Detection, Segmentation

Site Selection, Price Elasticity Modeling, Geospatial & Demographic Analysis, Upstream & Downstream Energy Industry Applications

Fraud Detection, Bio-informatics, Predictive CRM Analytics, Telecommunications, Automotive Industry, Signal & Image Processing, Guidance and Control

Fraud Detection, Behavioral Modeling, Credit Scoring, Knowledge Discovery, CRM Analytics, Agronomic and Crop Yield Optimization

Knowledge Modeling, Knowledge-Base Design & Development, Audit Scoring, Risk Management, Financial Recoveries Analysis

Media, Marketing Analytics, Healthcare, Public Sector, Manufacturing, Higher Education, CRM & Social Media Analytics, Retail, Financial, Text and Big Data Analytics

Retail Data Mining, Multi-channel Marketing Optimization, Customer Segmentation, Media and Merchandise Mix Modeling

CRM & Web Analytics, Geospatial Analysis, Marketing Strategy, Financial Services, Hospitality, Insurance, Clubs & Continuity, Teleshopping, Loyalty & Frequency Marketing