Mr. Mason is a software and analytics scientist with expertise in data analysis, visualization, and management. His projects have come in a variety of industries and scales, and included every phase of information flow: collection, storage, analysis, and dissemination.
Mr. Mason recently graduated from a master’s degree program at Carnegie Mellon University focused on information systems and data analytics. His studies included data analytics and visualization using R and Python, introductory machine learning, object-oriented programming and design using Java, data retrieval and storage using SQL, and mapping using ArcGIS. At the end of this degree program, he completed a client project focused on reducing driving time of technicians using GPS data, thereby increasing average service orders completed per day.
Prior to Exponent, he worked as a Research Assistant and Excel Specialist at the International Monetary Fund, where he gained experience in Microsoft Excel, Stata, and general data practices. As Research Assistant, his work involved daily team-level data management, and data visualization support for annual review reports, working papers, briefs, and selected issues papers. As an Excel Specialist, his work included the migration of a direct-link sector file system to a standardized database structure and Excel technical support tasks.
CREDENTIALS & PROFESSIONAL HONORS
- Master of Information Systems Management, Carnegie Mellon University, 2019
- B.A., Economics, University of Maryland, 2011
Teaching Assistant for Data Structures and Algorithms, Carnegie Mellon University, 2019
Research Assistant, International Monetary Fund, 2013-2017
Excel Specialist, Experis, 2011-2013