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tdewing19/README.md

👋 Hello! I'm Tristan

I am a fourth year at UCLA finishing up my B.S. in statistics and data science. I am primarily interested in using data analytics, data science, and machine learning to drive business insights and decisions, and have also been involved in researching advanced machine learning and deep learning techniques such as natural language processing (NLP) and reinforcement learning (RL).

  • 🔭 I’m currently a data science consultant for the UCLA Library providing statistical consulting and data-based solutions to Ph.D. and Masters researchers to improve research and project outcomes.
  • 🔬 My top skills are Python, R, SQL, and Tableau.
  • 🌱 I’m currently learning: geospatial analysis and time series analysis!
  • 📫 How to reach me: Email, LinkedIn

🔧 Technologies & Tools

Languages:

Packages:

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📈 GitHub Stats

Tristan's GitHub Stats Tristan's GitHub Stats

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  1. legal-topic-modeling legal-topic-modeling Public

    Topic analysis and modeling of conversations between attorneys and clients, which placed as a finalist at the 2023 UCLA X ASA DataFest.

    Jupyter Notebook

  2. AWS-DeepRacer-RL AWS-DeepRacer-RL Public

    Research project exploring the potential of reinforcement learning in autonomous self-driving vehicles using AWS DeepRacer.

  3. the-data-science-union/DSU-W2021-NBA-Project the-data-science-union/DSU-W2021-NBA-Project Public

    Our project aims to predict NBA players' annual salaries based on their game statistics using machine learning.

    Jupyter Notebook 4

  4. DSU-W2023-Web-Scraping DSU-W2023-Web-Scraping Public

    Forked from the-data-science-union/DSU-W2023-Web-Scraping

    Documentation and tutorials on how to use web scraping packages in Python (Beautiful Soup, Scrapy, Selenium).

    Jupyter Notebook

  5. correlation-study correlation-study Public

    Guide for how to run a correlation study in R using various statistical techniques (i.e. hypothesis testing, Cramer's V).

    R

  6. heart-disease-prediction heart-disease-prediction Public

    Project aimed at developing a machine learning model that best predicts whether or not a patient will develop heart disease.

    R