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Portfolio

Causal Effect of Urban Parks on Children’s Happiness
The Korean Journal of Applied Statistics (Feb 2023)
Led research using causal inference to quantify urban green spaces’ impact on children’s well-being, delivering actionable insights for policymakers.
Visit Publication | GitHub Repository

SMS Spam Detection System (Current Project)
Building a spam detection system to classify unwanted communications more effectively. Currently focusing on developing robust text classification models to handle subtle and ambiguous spam cases.
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Predicting Small Business Closures Using Machine Learning
Built and compared advanced ML models (CatBoost, RandomForest, BART) for SME closure prediction, achieving exceptional performance (F1: 0.992, Accuracy: 0.987).
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Travel Trends Analysis through Web Scraping
Built a Python-based data collection system analyzing travel blog posts to identify trending destinations and traveler preferences. Implemented automated scraping, NLP processing, and data visualization for insights.
Visit Medium Post | GitHub Repository

2023 Population and Housing Census Press Release
Led migration from ArcGIS to R, optimizing costs and efficiency in demographic visualization. Automated choropleth map generation process.
Korean Version (Full) | English Version (Summary)
Analysis of Changes in Youth Demographics of South Korea (2000-2020)
Enhanced demographic visualization with R, improving readability by 30% and delivering clearer insights into population trends.
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2024 Population and Housing Census Press Release
Optimized data pipeline reducing processing time by 80%, significantly improving statistical analysis efficiency.
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