kwonnayeon,Nayeon,github

Hi Everyone! 👋

👩‍💻 Welcome! I’m Nayeon, a Junior 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.

🌐 Connect with Me

🛠️ Technical Skills

Programming Languages: R, Python
Data Manipulation & Querying: SQL (Oracle, PostgreSQL)
Specialization: Causal inference, Bayesian statistics, Machine Learning

🌟 Projects

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.
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.

Nayeon's Projects

algo-practice

Algorithm practice repository

bayesian-paper-reviews

Contains presentations and reviews of Bayesian analysis papers from grad school coursework.

dl-from-scratch

Hands-on practice implementing deep learning algorithms from scratch.

hadoop-platform-and-application-framework

Practice exercises for Coursera assignments on Hadoop platform and application framework.

kwonnayeon

My personal repository

medium-post-projects

Contains the code and projects from my Medium posts. I share what I've learned through trial and error to help others tackle similar work smoothly.

ml-learning-path

My journey to earning a Machine Learning Scientist with Python certificate from DataCamp.

numble

A project for predicting the closure of small and medium-sized enterprises (SMEs) using predictive analytics.

urban-parks-childrens-happiness

A thesis project exploring the causal impact of urban parks on children's happiness, with data, results, and code.

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