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spark174/README.md

Welcome to my Github! My name is Sean Park

Aspiring Data Scientist

I'm Sean Park, a Business Analytics Masters student at Carnegie Mellon University, with a strong foundation in Applied Mathematics and Statistics from Johns Hopkins University. My technical prowess is rooted in programming languages like Python, SQL, R, and Java, complemented by my proficiency in data science and finance. Professionally, I've honed my skills as a Data Analyst at Cambridge Associates, where I managed data cleanup initiatives and innovated by automating processes using Python API and AWS. My experience also includes machine learning algorithm development during my tenure as a Summer Analyst in Seoul, Korea. With a passion for data-driven decision making and a knack for innovative problem-solving, I am poised to contribute significantly in the field of data science!

Skills: Python / R / SQL / Tableau

  • 🌱 I’m currently learning Business Analytics at CMU Tepper School of Business
  • 📫 How to reach me: sspark2@andrew.cmu.edu

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  1. TSA-Optimization TSA-Optimization Public

    Utilizing Little's Law and LLM's, I created a user friendly chatbot that TSA agents can utilize to optimally allocate staff in the TSA inspection process.

    Python

  2. California-Housing-Price-Prediction California-Housing-Price-Prediction Public

    This project uses various regression models to predict the housing value in California. Experimenting with different models, this notebook explores the differences in performances. Furthermore, we …

    Jupyter Notebook

  3. Churn-User-Classifier Churn-User-Classifier Public

    This project develops a machine learning model to predict customer churn for a telecommunication company, enabling proactive customer retention strategies. This predictive model equips the company…

    Jupyter Notebook