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KwonNayeon/README.md

Hi everyone πŸ‘‹

πŸ‘©β€πŸ’» As a self-motivated Data Scientist with over two years of academic experience in Statistics and over a year of practical work as a Statistical Analyst in a government organization, I am driven to make the world a better place through data-driven decisions.

πŸ“š My field of study is causal inference, and I conducted a quantitative analysis on the causal effect of urban parks on children's happiness using my problem-solving skills. I have statistics expertise and experience working with R and Python. Additionally, I have extensive experience with SQL for data manipulation and querying. I stay up-to-date with the latest technologies through self-directed learning.

πŸ”Ž I am currently seeking a full-time position as a Junior Data Scientist or Machine Learning Engineer in a company that values inclusivity and offers opportunities for growth and development.

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  1. algo-practice algo-practice Public

    Algorithm practice repository

    Jupyter Notebook

  2. numble numble Public

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

    R

  3. hadoop-platform-and-application-framework hadoop-platform-and-application-framework Public

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

    Python

  4. urban-parks-childrens-happiness urban-parks-childrens-happiness Public

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

    R

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

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