Elisa D'Amico

2023–2024: Data & Modeling Research Consultant — University of Denver and World Wildlife Fund
Responsibilities: Forecasting future fisheries conflict; Leveraging big data and running prediction models.
2023: Data Scientist — Chicago Public Schools, School Counseling and Postsecondary Advising
Responsibilities: Data science, empirical modeling, Google AppScript, SQL, SAS, etc.
2023: Automation Research Consultant — University of St Andrews, School of International Relations
Responsibilities: Global Fragmentation and Peacemaking PeaceRep Consultancy and Database Building.
2017: Special Interest Groups Data Analyst — Project VoteSmart
Responsibilities: Web-scraping and cleaning of special interest groups data in R.

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.

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.
Created Dynamic Visualizations: Drivers of Fishery-Related Militarized Disputes ShinyApp — Shows dynamic global annual map of temperature anomalies, fish stock, and fishery-related MID dyads.