Welcome! I’m Nayeon, a Data Scientist passionate about leveraging data to drive impactful decisions. I have a solid foundation in Statistics and hands-on experience as a Statistical Analyst in a government organization.
- Programming Languages: R, Python
- Data Manipulation & Querying: SQL (Oracle, PostgreSQL)
- Specialization: Statistics (Causal Inference, Bayesian Statistics), Machine Learning (Regression, Tree-Based Models, Boosting)
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Causal Effect of Urban Parks on Children’s Happiness
- Investigated the causal effect of the size of urban parks on children's happiness using propensity score methods.
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Small and Medium-sized Enterprises (SMEs) Closure Prediction Project
- Utilized machine learning models in R to predict SME closures, achieving an F1 score of 0.992 with the CatBoost model.
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- Code associated with my Medium posts.