I'm Nayeon (Anna), a data professional with a solid foundation in statistics and hands-on experience in machine learning and analytics. I excel at leveraging data-driven insights to drive impactful decisions.
- Programming Languages: Python, R, SQL
- Machine Learning & AI: LLM (OpenAI), Deep Learning, LangChain
- Data Engineering: FastAPI, Supabase, Docker
- Cloud: AWS AI Practitioner, AWS Cloud Practitioner
- Data Visualization: Tableau, Matplotlib, Seaborn
- Version Control: Git
- Statistics: Statistical Modeling, Hypothesis Testing, Causal Inference
| Language | Proficiency |
|---|---|
| Korean | Native language (Volunteer language instructor) |
| English | Advanced (OPIC AL) |
| French | Beginner - 670+ days on Duolingo |
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
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Beyond data, I enjoy staying active with Pilates and Yoga, watching high-speed Formula 1 races, and diving into mystery novels & comics.
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