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TOP
SHELF FACILITATORS
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. |
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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.
He is a regular
presenter of the Predictive Analytics Track at the TDWI World
Conferences, as well as being engaged by a number of software
vendors to present the practical implementation aspects of their
tools.
Mr. Rathburn’s expertise is focused on the design and development of
business models of human behavior. From an industry perspective, he
has extensive experience in the financial sector, banking,
insurance, energy, retail and telecommunications. He has an
extensive functional area perspective, including the development of
models for trading, pricing, CRM, B2B, B2C, fraud detection, risk
management and attrition/retention.
Tony's
academic training includes seven years teaching MIS and Statistics
at both the graduate and undergraduate level while an instructor in
the College of Business at Kent State University. Prior to entering
consulting, Tony served as Vice President of Applied Technologies
for NeuralWare, Inc., a neural network tools and consulting company.
He was also the Research Coordinator for LakeShore Trading, Inc., a
successful futures and options trading firm on the Chicago Board of
Trade. |
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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. |
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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. |
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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 diease. 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. |
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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. |
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CHANDRASEKHAR KARRA, Ph.D. is a certified knowledge
engineer with many years of experience working with knowledge-based
systems, fuzzy logic, neural networks and data mining.
Dr. Karra has successfully implemented artificial intelligence
technologies in areas such as manufacturing, diagnostics, image
processing, knowledge and data modeling. He has designed and implemented
a lube oil expert diagnostic system called MSCXpert for the Military
Sealift Command, Department of the Navy. Dr. Karra also served
as the knowledge engineer for the MSC project and developed the
knowledge bases used by the system.
Dr. Karra also implemented a complete receivables
management solution for Equifax. The system ranks accounts for collection
using neural networks and interactively guides collectors through
the call process using a dynamic knowledge-based system. He has
developed several other solutions utilizing knowledge engineering
technology as well.
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