CV
You can download a PDF of my CV here, or an abbreviated version of my resume here
Education
- M.S. in Computational Analysis and Public Policy, University of Chicago, 2023
- B.A. in Economics, University of Minnesota-Twin Cities, 2018
Technical Skills
Programming: R (tidyverse, nnet, RShiny), Python (pandas, scikit-learn, PySpark), STATA, SQL
Software: LaTeX, Git/Github, Amazon Web Services, Microsoft Office Applications, Adobe Acrobat, Bloomberg Terminal
Professional Experience
Internal Revenue Service, Division of Research, Applied Analytics, and Statistics
Data Scientist/Mathematical Statistician
July 2023-Present
- Collaborate with IRS divisions and researchers to identify and resolve data challenges, leveraging statistical modeling and data engineering techniques to develop solutions that support tax policy analysis and operational decision-making
- Develop and maintain the Enterprise Planning Scenario Tools, a suite of RShiny dashboards within the Automated Analytics Lab of the Office of Research, Applied Analytics, and Statistics, enabling internal stakeholders to optimize workforce allocation for approximately 8,000 employees, representing a budget of around $400 million
- Design and conduct a randomized controlled trial involving 120,000 taxpayers to improve outreach effectiveness and enhance revenue estimation for efficient tax administration
- Team up with qualified researchers in the Joint Statistical Research Program (JSRP) to incorporate tax microdata into academic research providing new insights and advancing the understanding of the ways that existing tax policies affect individuals, businesses, and the economy
University of Chicago-Harris School of Public Policy
Affiliated Researcher
July 2023-Present
- Conduct original research in municipal finance applying modern portfolio theory to explore risk asymmetry and service-driven revenue structures
- Develop a corresponding R package to be featured in the CRAN repository that generates optimal portfolios and efficient frontiers, with wide-ranging applications from municipal finance to equities and renewable energy markets
Technical Assistant
May 2022-July 2023
- Overhauled the Harris School’s Center for Municipal Finance website, populating it with information on events, media coverage, relevant research and data
- Installed a brand-new “CMF Data Dashboard” which provides users with a range of data visualizations concerning municipal bond trading, pricing, and liquidity measures
- Using a repeat-sales regression methodology, created a municipal bond index gauging individual city/county/school district financial health and market sentiment, featured in Bloomberg News and Crain’s Chicago Business
Securities Quote Xchange
Data Science Assistant
May 2022-July 2023
- Provided research support for SQX - a financial services firm specializing in alternative trading systems for fixed income securities - using econometric and machine learning modeling to enhance products for clients
- Developed a data-driven approach to grouping peer bonds in SQX’s municipal bond pricing model - used by traders, analysts, and regulators - creating time-consistent groupings, and shortening run-time by 90%
- Implemented an internal credit ratings system using a gradient-boosted tree machine learning algorithm, which assigned ratings to approximately 500,000 otherwise unrated municipal bonds
University of Chicago-Harris School of Public Policy
Research Assistant, Professor Ingvil Gaarder
September 2021-May 2022
- Facilitated the advancement of the research project studying the distributional welfare effects of changes in state sales tax rates
- Spearheaded collection of supplemental state sales tax data, expanding the analysis dataset by 50% to allow for new, more robust econometric testing in preparation for the paper’s submission to an academic journal
Federal Reserve Bank of Cleveland
Research Analyst
September 2018-August 2021
- Advanced the research projects of bank economists’ for public viewing and submission to academic journals by gathering relevant data, performing econometric analysis, and writing up findings
- Enhanced preparation to the monetary policy-making process by supporting bank economists with briefings on financial and macroeconomic conditions ahead of the bi-quarterly Federal Open Market Committee meetings by creating data visualizations and other research material
- Automated the Simple Monetary Policy Rules bank product, eliminating manual data entry and potential user error, ensuring the quarterly updates to the underlying information provided to the public is accurate
- Coauthored 3 short, policy-relevant articles aimed for public viewing, and 2 academic working papers, one featured in the Journal of Money, Credit & Banking
Federal Reserve Bank of Philadelphia
Model Development Intern
June 2018-August 2018
- Developed a new forecasting model for use by FRBP officials on cash deposits and orders from third district member banks by utilizing time series econometric techniques in the SAS programming language
University of Minnesota-Twin Cities, Heller-Hurwicz Economics Institute
Research Assistant
December 2017-May 2018
- Provided research assistant support on project using economic theory, econometrics, and data to inform upon the construction of optimal pension plans with a specific focus on public plans
- Orchestrated the constructing and testing of economic and financial models used to inform upon optimal public pension policy and employee savings decisions
- Assisted in constructing and testing of economic and financial models used to inform upon optimal policy and employee savings decisions
- Coauthored Risk-taking by Public Pension Funds, a policy brief aimed for public viewing
Teaching Experience
Harris School of Public Policy Math & Coding Camp/Coding Lab
Teaching Assistant
September 2022-November 2022
- Serve as teaching assistant for the course designed to prepare incoming Harris students for the coding required in the core curriculum
- Facilitate lab sessions of 12 students, providing assistance to students completing coding tasks in R.