Jeff is a co-founder and Chief Executive Officer of Apollo Data Technologies with over a decade of data analysis and data mining experience in a range of problem domains including healthcare, financial services, telecommunications, and public services. Prior to co-founding Apollo Data Technologies, Jeff led product development for Revenue Science, Inc. (formerly Digimine, Inc.).  It was here that he incubated and launched their enterprise analytics software and oversaw the implementation for their Fortune 100 clients. Prior to Digimine, Jeff was a global financial and planning analyst for several divisions of GE Capital, responsible for profit and loss analysis and merger and acquisition due diligence. Jeff earned his accounting and marketing degrees from the University of Wisconsin, and is Six Sigma trained and certified. He sits as an Advisor for the University of Wisconsin Business Alumni Board.

 

Paul is a co-founder, and Chief Technology Officer at Apollo Data Technologies where he directs software design and research and development. Prior to co-founding Apollo Data Technologies, Paul consulted on data mining algorithm integration with Microsoft Research and SQL Server, and led data analysis solution implementations for a number of Microsoft divisions. Earlier, Paul was the data mining development lead at Revenue Science, Inc. (formerly Digimine, Inc.), where he focused on integrating data mining technology into the company’s service offering. Prior to Digimine, Paul was a researcher in the Data Management, Exploration and Mining Group at Microsoft Research, where he helped develop new data mining algorithms and components that shipped with Microsoft’s flagship database products SQL Server and Commerce Server.

Paul earned his Ph.D. and M.S. degrees in computer science, and a B.S. in mathematics from the University of Wisconsin. His research interests include classification and clustering algorithms, underlying mathematical problem formulations, and issues related to scalability. Paul served as Area Editor for the International Journal on Data Mining and Knowledge Discovery and as Associate Editor of SIGKDD Explorations, and was KDD-2003 Industrial Track Co-chair, KDD-2001 Exhibits Chair and KDD-2000 Publicity Chair.

 

Dan leads the software development, integration and support at Apollo. In this role, he is responsible for overseeing the technology development and operations for the entire suite of Apollo's predictive modeling solutions. Prior to joining Apollo, he directed the business intelligence software development, deployment, and support organization at International Game Technology, Inc. It was here where Dan architected the industry's first business intelligence standardized data model, data warehouse, and data visualization applications. In addition, he led the development of the data warehouse ETL processes that enabled rapid, non-invasive, and automated data integration from client legacy data systems. Dan has over twelve years of experience developing and managing enterprise business intelligence software applications. He attended the University of Minnesota with a concentration in information management systems.

 

Roman directs the architecture design of business intelligence systems at Apollo Data Technologies. Prior to joining the team at Apollo, Roman worked at Revenue Science, Inc. (formerly digiMine, Inc.), where he was a senior architect responsible for designing one of the world's first data-warehousing systems, capable of processing terabytes of web, product, transaction, and customer data on a daily basis. He also led the design and implementation of the SQL aggregation engine and API used in digiMine's flagship solution. Earlier, Roman worked with the Windows update team at Microsoft. Roman earned his M.S. in Computer Science at the Moscow Institute of Physics and Technology. He also served as a research assistant at the University of Utah, Department of Physics and the Computer Center of the Russian Academy of Sciences.

 

Sager directs Apollo's project management and analyst teams dedicated to providing solution implementation excellence. Prior to Apollo, he worked at a national healthcare company implementing analytic software solutions to address healthcare executive management business intelligence needs. Other experience includes roles as a field consultant with a leading revenue cycle consulting firm where he was focused on process re-engineering to identify and improve each facet of business flow, as a result accelerating cash collections and minimizing lost revenue. Sager earned his B.S. from UC San Diego in both Biology and Business Administration.

 

Jason leads the technical implementation teams at Apollo. He brings ten years of healthcare consulting and technology experience. Prior to joining Apollo, Jason was with a national healthcare consulting firm focused on revenue cycle improvement and patient flow solutions. He has extensive experience developing software in the areas of denial management, contract management, bad-debt, charge capture, and AR analytics. Jason earned his B.S. from Oregon State University in Management Information Systems and Business Administration.