Portfolio
Explore my data science projects spanning machine learning, data visualization, statistical analysis, and more. Each project demonstrates practical applications of data science techniques to solve real-world problems.
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Crypto Arbitrage Feasibility Analysis
Comprehensive analysis of cryptocurrency arbitrage opportunities across multiple exchanges, combining data collection, statistical analysis, and algorithmic trading strategies.
Analyzing Wage Determinants with Advanced Causal Inference
Comprehensive analysis of wage determinants using OLS, Random Forest, Double Machine Learning, and Causal Forest to identify causal effects and heterogeneous treatment effects.
Business Decision Solutions for E-commerce
Integrated data platform for e-commerce decision-making, reducing decision time by 30% through advanced analytics.
Demand Forecasting for Inventory Optimization
Machine learning models for accurate demand prediction, reducing excess inventory costs by 15-20%.
Causal Impact Analysis of Anti-Competitive Behavior
Econometric analysis that saved $120 million in fines through rigorous causal inference.
Military Rank Premium Analysis
Statistical methodology to analyze the effects of military ranks on wages, published in Oxford Bulletin of Economics and Statistics.
Regression Discontinuity Analysis of Affirmative Action
Doctoral research applying advanced causal inference techniques to evaluate affirmative action policies in Korea.