Projects

Selected work in econometrics, machine learning, and spatial analysis.

Economic Complexity

Industrial Upgrading in Resource-Rich Markets

Capstone with Moody's Ratings. Panel of 54 resource-rich developing countries over 1995 to 2019, testing which structural conditions allow commodity exporters to develop value-added industries. Case studies on the Republic of Congo, Azerbaijan, and Chile.

Pooled OLS LASSO / Ridge / ElasticNet Random Forest PCA / K-Means
Econometrics

US Monetary Policy Rules

Regime-switching analysis of Federal Reserve interest rate decisions using 70 years of macroeconomic data. Estimates Taylor rule parameters across inflation regimes and tests for structural breaks in policy behaviour.

Markov-Switching Taylor Rule Structural Breaks Bootstrap Inference
Spatial Analysis

Uber NYC Demand Patterns

Descriptive analysis of how Uber pickup geography shifted between 2018 and 2025. Documents increased concentration at airports (+48%) and decline in Manhattan core zones.

K-Means Moran's I / LISA Gini / Lorenz GeoPandas
Text Analysis

Pink Tax Classification

Building a classifier to identify gendered products in UK supermarket data using TF-IDF text features and color extraction from product images. 84% accuracy vs human labels.

TF-IDF Gradient Boosting Color Extraction Web Scraping
Spatial & Network Analysis

Chile Mineral Supply Chain

Facility-level network of mineral production, refinement, and export in Chile across 17 commodities. Combines Sernageomin, COCHILCO, Aduanas, and USGS data into a single mapped pipeline covering 363+ facilities.

Network Analysis GeoPandas Leaflet Web Scraping