Katherine (Kate) Munkacsy
About Katherine (Kate) Munkacsy
Katherine (Kate) Munkacsy is a Data Analytics Associate at Mathematica, specializing in analyzing and visualizing data to support policy research. She holds a Bachelor of Science in Computational and Applied Mathematics and Statistics from William & Mary and has experience working with various organizations to deliver data-driven solutions.
Work at Mathematica
Katherine Munkacsy has been employed at Mathematica as a Data Analytics Associate since 2021. In this role, she focuses on analyzing and visualizing data to support policy research. Her work involves collaboration with federal, state, and local agencies to provide data-driven solutions. Munkacsy contributes to projects that aim to strengthen social policy, particularly for disadvantaged families, by leveraging data insights.
Education and Expertise
Katherine Munkacsy studied at Victoria University of Wellington, where she achieved a degree in Mathematics and Statistics in 2020. Additionally, she earned a Bachelor of Science in Computational and Applied Mathematics and Statistics from William & Mary, completing her studies from 2017 to 2020. Her educational background equips her with the skills necessary for data analysis and visualization, which she applies in her current role.
Professional Background
Before her current position at Mathematica, Katherine Munkacsy held various roles that contributed to her expertise in data analytics. She worked as a Data Visualization Intern at Insight Policy Research from 2020 to 2021. Prior to that, she served as Technical Innovation Program Manager at geoLab @ W&M from 2018 to 2020. Munkacsy also gained customer service experience as a Cashier at Wegmans Food Markets from 2016 to 2017 and worked as a Keyholder at Greene Street for one month in 2020.
Data Analysis Specialization
Katherine Munkacsy specializes in analyzing and visualizing both administrative and survey data. Her analytical skills support policy research initiatives, particularly those aimed at enhancing social policy for disadvantaged families. Through her work, she provides valuable insights that inform decision-making processes within various agencies.