Peter Mattingly
About Peter Mattingly
Peter Mattingly is a data analyst with extensive academic credentials, holding degrees from the University of Colorado Boulder and Columbia University. He currently works at dv01 and NYU School of Professional Studies, while also serving as a Research Program Manager at the NYS Office of Resilient Homes and Communities.
Work at dv01
Peter Mattingly has been employed at dv01 as a Data Analyst since 2022. In this role, he utilizes his analytical skills to interpret complex data sets and provide insights that support the company's objectives. His work contributes to the overall data-driven decision-making processes within the organization.
Education and Expertise
Peter Mattingly holds multiple degrees, including a Bachelor of Arts in Sociology from the University of Colorado Boulder and a Bachelor of Arts in Psychology from the same institution. He also earned a Master of Science in Public Policy Analysis from NYU Robert F. Wagner Graduate School of Public Service, a Master of Arts in Applied Quantitative Research from New York University, and a Master of Science in City/Urban, Community and Regional Planning from Columbia University Graduate School of Architecture, Planning & Preservation.
Background
Peter Mattingly has a diverse professional background, having worked in various roles related to data analysis and research. His experience includes positions at the Othering & Belonging Institute at UC Berkeley, Urban Institute, and Environmental Defense Fund. He has also served as an Adjunct Professor at NYU School of Professional Studies since 2022.
Achievements
Throughout his career, Peter Mattingly has held several significant positions that reflect his expertise in data analysis and research. He has contributed to organizations such as the NYS Office of Resilient Homes and Communities as a Research Program Manager and has held roles at New American Economy and Pew Research Center. His academic and professional journey showcases his commitment to understanding and addressing complex societal issues through data.