I am a graduate student at the London School of Economics, completing an MPA in Data Science for Public Policy. My work sits at the intersection of applied econometrics, machine learning, and spatial analysis, with applications in economic development, sovereign risk assessment, and market analysis. I am a native Italian and Croatian speaker, fluent in English, with conversational French.
My current capstone, in partnership with Moody's Ratings, is titled Industrial Upgrading in Emerging Markets with Rich Natural Resources. It uses a panel of 54 resource-rich developing countries from 1995 to 2019 to test which structural factors allow some commodity exporters to develop value-added industries while others remain locked into low-complexity production. The Economic Complexity Index (ECI) serves as the dependent variable. The pipeline draws on World Bank, IMF, V-Dem, USGS, and Energy Institute sources, applies pooled OLS with country-clustered standard errors alongside regularised regression and Random Forest for variable importance, and includes case studies of the Republic of Congo, Azerbaijan, and Chile.
Other recent work includes regime-switching analysis of US monetary policy rules using 70 years of Federal Reserve data, spatial demand analysis of ride-hailing markets in New York City, and a classification pipeline for gender-based pricing in UK supermarket products. Before LSE, my undergraduate dissertation at Bocconi used fixed-effects panel models to examine geographic variation in credit access for financially constrained firms across Northern Italian provinces.
Outside of academic work, I serve as Senior Editor for Podcasts at The Public Sphere Journal (LSE School of Public Policy), producing and editing long-form academic interviews that structure complex research for non-specialist audiences. I also designed a quantitative scoring methodology for an interactive political matching tool used in the 2024 European Parliament elections in Greece, which generated over 10,000 completed surveys and ranked first on Google for related search terms.