Peter Arena, Ph.D. – Founding Principal – Dr. Peter Arena has nearly twenty years of experience working in the fields of business intelligence, data warehousing, and data mining—with particular expertise in the application of quantitative techniques to practical problems of government, business, and higher education. His work experience and academic research spans the subject areas of survey research, statistical sampling, dimensional data modeling, and applied econometrics. He has held leadership positions with major global consultancies, and is a published expert in the fields of business intelligence and analytic application development. Dr. Arena has extensive experience as an analytic project manager and subject matter expert for fraud detection and compliance initiatives to prevent fraud and reduce the tax gap at several tax agencies. For the past ten years, Dr. Arena has managed a broad range of analytic consulting engagements focused on fraud detection and prevention, improper payments, audit selection, and collections optimization. These projects involve large-scale data collection, database design and integration, simulation model development, and relational database management—as well as extensive programming and application development with state of the art analytics software platforms. Dr. Arena taught graduate level statistics and econometrics courses at George Mason University, where he also received his Ph.D. in Public Policy. Dr. Arena also holds degrees from the University of Rochester (MS in Public Policy) and St. John Fisher College (BA in Economics).
Michael Stavrianos, M.P.P. – Founding Principal – Mr. Stavrianos has more than 20 years of professional experience in the fields of advanced analytics, business rules and requirements, business process improvement, and project management. He has particular expertise in the use of analytic methods and models to provide decision support for government clients. Over the past 15 years, he has supported a broad range of analytic consulting engagements for the Internal Revenue Service (IRS), including 8 years leading process improvement efforts for Business Systems Modernization programs, and 10+ years serving as a subject matter expert on analytical projects for the IRS Office of Research, Analysis, and Statistics (RAS). His recent work has focused on the use of business rules and analytic models to identify tax fraud, and on the creation of enterprise-level communities within the IRS (including the Business Rules Center of Excellence and the Business Analysis Community of Practice). Mr. Stavrianos has been credentialed as a Project Management Professional (PMP) by the Project Management Institute. He holds a Masters of Public Policy degree from Georgetown University and a B.A. in Statistics and Spanish from Washington University in St. Louis.
John Van Weeren – Mr. Van Weeren has over 25 years of experience in the information technology field spanning various disciplines including: quality assurance, software development, large systems installation and deployment, services, and support. He has held leadership positions, and is an expert in the fields of business intelligence (BI) and analytic application development. In the five years prior to joining ASR, Mr. Van Weeren was responsible for the BI solution development for an industry leading Higher Education ERP system provider, involving requirements definition, product roadmap, solution design and systems integration.
Since joining ASR, he has been responsible for BI solution architecture and implementations using various technologies across a range of project types and sizes. Since 2013, John has focused on growing the higher education practice by expanding service offerings to include BI Strategy and Readiness Assessments, formalizing the Student Success Analytics data warehouse accelerator solution, and increasing BI tool training offerings while continuing active engagement with client projects. He holds a B.S in Computer Science with Information Systems concentration from Calvin College.
Meghan Noonan – Ms. Noonan has nearly fifteen years of experience in business intelligence, data warehousing, and data mining. She has managed a broad range of projects for clients in both the federal and higher education space. Ms. Noonan has been a project manager for over 45 data mining engagements, utilizing text mining, time-series forecasting, survival analysis, rare event prediction, and propensity scoring. Ms. Noonan has extensive experience with Enterprise Business Intelligence (EBI) solutions and OLAP environments, with particular expertise in SAS. She has lead efforts of large scale EBI hardware sizing, performance testing, software platform migrations, disaster recovery, and CONOPS planning. She also has academic and applied knowledge in the areas of survey research, statistical sampling methods, and predictive analytics. Ms. Noonan holds a Bachelor's degree in Decision Sciences and Marketing from Miami University.
Jeremy Howard – Mr. Howard has 20 years of experience developing and delivering customized data management, analysis, modeling and reporting solutions. He has managed a broad range of analytic consulting engagements involving large-scale data integration, predictive analytics, machine learning, and data visualization. Mr. Howard is an expert technologist with experience leveraging a variety of software tools and platforms including Python, R, SAS, Teradata, Oracle, and Microsoft to generate results for his clients. Mr. Howard currently leads ASR’s State & Local practice, developing solutions and managing delivery teams for customers across the country. His recent work includes an engagement with the Maryland Office of the Comptroller deploying geospatial analytics and machine learning algorithms designed to combat tax fraud and enhance tax compliance. His project delivery responsibilities include requirements elicitation and analysis, data transformation and management, data mining and predictive model development, application design and development, testing and deployment, documentation, user training, and project management. Previously, he served as Data Analyst for Chevy Chase Bank, supporting Business Process Improvement and Enterprise Business Intelligence initiatives through statistical programming, ETL process management, report development, data maintenance and end-user assistance. He holds a bachelor of arts in economics from the University of North Carolina at Chapel Hill.