Analytical & Data Projects
A collection of technical projects spanning machine learning, econometric analysis, and data science.
Email Spam Classification System
Developed a text-based machine learning classifier achieving 90%+ accuracy while balancing spam detection performance with false-positive risk and ethical considerations.
NBA Salary Determinants
Used econometric regression to analyze how player performance and experience translated into NBA wages, finding scoring and tenure as primary drivers of compensation.
Cook County Housing Price Prediction
Built and evaluated a machine learning model on 500k+ housing records to predict property prices and assess fairness impacts across socioeconomic neighborhoods.
Climate Change & Civil Conflict
Constructed panel data models to study how temperature and precipitation shocks influence civil conflict risk across countries and time.
Minimum Wage Policy & Foreign Investment
Applied panel econometrics to assess how minimum wage policy and labor availability affect foreign direct investment in emerging manufacturing economies.
Economic Impact Analysis: Mariel Boatlift
Replicated Nobel Prize–winning causal research to evaluate the labor market effects of immigration using survey data and econometric analysis.
Regional GDP Analysis
Analyzed and visualized county-level GDP trends to compare regional economic recovery patterns across the United States over two decades.
Econometrics Analysis of MLB Salary Disparities
Investigated how race and city demographics influence MLB player salaries beyond performance metrics.
Ants: Data-Driven Tower Defense Game
Tower defense game using object-oriented programming with custom classes, inheritance, and pathfinding algorithms.
CATS: Typing Autocorrect System
Typing software measuring speed and accuracy with autocorrect using recursive string comparison and dynamic programming.
Classifying Movies (K-Nearest Neighbors)
K-NN classifier predicting movie genres by analyzing keyword frequency in scripts using Euclidean distances.
Climate Change: Temperatures and Precipitation
Analyzed temperature and precipitation data from 210 U.S. cities using hypothesis testing and A/B tests.
Predicting Baseball Wins
Developed regression models predicting MLB team wins based on runs and performance metrics since 2000.
World Population and Poverty
Examined global population growth and poverty trends, modeling data from 145 countries with visualizations.