I'm Nayeon, a passionate Data Scientist with a solid foundation in Statistics and hands-on experience as a Statistical Analyst in the government sector. I excel at leveraging data-driven insights to drive impactful decisions.
- Programming Languages: R, Python
- Data Manipulation & Querying: SQL (Oracle, PostgreSQL)
- Cloud Platform: AWS
- Specialization: Statistics (Causal Inference, Bayesian Statistics), Machine Learning (Regression, Tree-Based Models, Boosting)
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Data Science Consulting Projects
- Currently working on delivering data science solutions focusing on ML implementations and cloud infrastructure using Python and AWS.
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Causal Effect of Urban Parks on Children’s Happiness
- Investigated the causal effect of urban park size on children's happiness, using propensity score methods to uncover valuable insights.
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Small and Medium-sized Enterprises (SMEs) Closure Prediction Project
- Developed machine learning models in R to predict SME closures, achieving an impressive F1 score of 0.992 with the CatBoost model.
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- Explored various data science topics through my published Medium articles.
Feel free to reach out if you'd like to discuss my work or explore collaboration opportunities.