Portfolio
Selected projects, research, and analytical work spanning econometrics, machine learning, time-series forecasting, and development economics.
Trade Liberalization & Environmental Impact
Comparing environmental impacts of trade liberalization across developing and developed countries using Fixed Effects Difference-in-Differences and Event Study approaches.
Crime Rates & Housing Prices in Wisconsin
Analyzing the relationship between crime rates and housing prices across Wisconsin counties (2018–2022). Built reusable Python data pipelines, designed fixed effects models, and generated heat maps.
Energy Sector Stock Price Forecasting Around COVID-19
Forecasting weekly energy company stock prices using Univariate, VAR, and VECM approaches in Gretl. Generated correlograms, log-difference plots, and forecasting comparisons.
Principal Component Analysis of Brain MRIs for Glioma Detection
Preprocessing brain MRI images (with vs. without glioma tumors) in RStudio, reducing dimensionality with PCA, and applying Logistic Regression, LDA, KNN classification.
Winners and Losers of Climate Change: Damage Inequalities via the DICE Model
Led a team to assess disparities in climate-induced economic damages by downscaling Nordhaus's DICE model using GDP projections from Burke et al.'s datasets.
WASH and Women's Empowerment in Haiti
Investigating the impacts of Water, Sanitation and Hygiene (WASH) on women's empowerment using DHS microdata. Conducted EDA and data wrangling in STATA.
Enhanced Kelly Criterion for Consumption-Based Portfolio Optimization
Extended the Kelly Criterion model to incorporate consumption factors beyond long-term capital growth maximization. Applied Python-based dynamic programming techniques.
Economic Empowerment & Marginalization in Developing Countries
Collaborative research exploring patterns of economic empowerment and marginalization using cross-country data from developing nations. Published as a REDI Report.