Data Work and Experience

Research and Data Experience

• 2026–ESOC Lead, eEarth, Empirical Studies of Conflict (ESOC) and International Crisis Group collaboration
  Liaising between Crisis Group’s eEarth team and ESOC researchers on resource-related conflict early warning
• 2025–Data Manager, Global PeaceHub: Mediation and Negotiators Database (MEND)
• 2023–2024Data & Modeling Research Consultant, University of Denver and World Wildlife Fund
  Forecasting future fisheries conflict; leveraging big data and running prediction models
• 2023Automation Research Consultant, University of St Andrews, School of International Relations
  Global Fragmentation and Peacemaking PeaceRep Consultancy and Database Building
• 2023Data Scientist, Chicago Public Schools, School Counseling and Postsecondary Advising
  Data science, empirical modeling, Google AppScript, SQL, SAS, etc.
• 2023Quantitative Research Associate, Institute for Racial Justice
  Transcribed and coded focus group recordings, synthesizing data on equity in gifted programming
• 2018–2023Research Assistant, Loyola University Chicago, Department of Political Science
  Worked with E. Hansen, K. Camarena, P. Boyle, S. Maxey, T. Maboudi, M. Melin, S. Kang, and J. Kao
• 2017Special Interest Groups Data Analyst, Project VoteSmart
  Web-scraping and cleaning of special interest groups data in R
• 2016Research Analyst, The Scottish Parliament, Edinburgh
  Served under Alex Rowley, Member of the Scottish Parliament. Devolution of powers, taxation, and public well-being

Ad Hoc Projects

• Created Stata templates for causation and quasi-experimental graduate-level projects.
• Used Python console to import, polygonize, spatially merge, and export data in QGIS.
• Used R to scrape, code, and semi-automate text analysis from peace agreement documents.
• Used R and APIs to query Chicago crime and census data and geospatially merge.
• Used SQL BigQuery on a number of conflict-related projects to extract data.
• Developed an interactive infographic mapping climate disasters and migration patterns over time.
• Created quizzes in Qualtrics for complex grading schemes.
• Used Excel VBA and Stata to merge large climate law and litigation data.

View my GitHub

Computer and Technical Skills

• Data Skills: Querying (e.g., SQL/Python/Google BigQuery); Excel VBA; Geospatial Data (e.g., QGIS/R); Data mining and scraping; Machine Learning (e.g., RF, K-Means); Text Analysis
• Software Proficiency: R, QGIS, SQL, STATA, JMP, Python, Google App Script, SAS, SPSS, Excel VBA, LaTeX
• Statistical Methods: Difference-in-Differences; Survey Experiments; Granger Causality; OLS; Multilevel Models; Logistic Regression; Survival Analysis (Weibull, Cox-PH); Random Forest; Generalized Additive Models; Change Point Analysis; Principal Component Analysis, etc.

Certifications

• 2023DataCamp Data Scientist Professional, R; SQL, Python
• 2023Qualtrics XM Professional Certification
• 2022Empirical Implications of Theoretical Models (EITM) Certification