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KwonNayeon/README.md
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Hi Everyone!

I'm Nayeon, a 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.

Connect with Me

Blog LinkedIn Gmail

GitHub stats

Nayeon's Streak

Skills & Expertise

Tech Stack

  • Programming Languages: Python, R
  • Data & Databases: SQL (Oracle, PostgreSQL, SQLite)
  • Cloud & AI: AWS Certified Cloud Practitioner, AI Practitioner
  • Statistics: Causal Inference, Bayesian Statistics
  • Machine Learning: Regression, Tree-Based Models, Boosting

Languages

Language Proficiency
Korean Native language (Volunteer language instructor)
English Advanced (OPIC AL)
French Beginner - 610+ days on Duolingo

Publications & Posts

Publication

Causal Effect of Urban Parks on Children's Happiness

Nayeon Kwon & Chanmin Kim, The Korean Journal of Applied Statistics (2023)

  • Investigated how urban park size impacts children's happiness using causal inference techniques
  • Driven by a passion for leveraging data to create a better world

🔗 Read More

Latest Medium Posts

Click to expand

🔗 More on Medium

Things I Love

Beyond data, I enjoy staying active with Pilates and Yoga, watching high-speed Formula 1 races, and diving into mystery novels & comics.

Professional Profile

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  1. numble numble Public

    Small Business Closure Prediction (Team Project)

    R

  2. urban-parks-childrens-happiness urban-parks-childrens-happiness Public

    Grad thesis on urban parks’ impact on children’s happiness – data, results, and code

    R

  3. medium-post-projects medium-post-projects Public

    Code & projects from my Medium posts

    Jupyter Notebook

  4. sms-spam-classifier sms-spam-classifier Public

    SMS spam classification

    Jupyter Notebook

  5. bayesian-paper-reviews bayesian-paper-reviews Public

    Bayesian analysis paper reviews from grad school

  6. kaggle-study-archive-2025 kaggle-study-archive-2025 Public

    Kaggle competition archive

    Jupyter Notebook