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Meiyi-Ye/README.md

Hello! My name is Meiyi Ye, and I graduated back in June from the University of California, Los Angeles (UCLA) with a Bachelor of Science in Statistics and Data Science. Throughout my academic journey, I’ve developed a strong foundation in data analytics, statistical modeling, and machine learning, gaining expertise in tools like Python, R, SQL, and more.

With a passion for problem-solving, I’m excited to apply my skills in data-driven decision-making to real-world challenges. My areas of interest extend beyond data analytics to include technology, finance, and sports, where I aim to leverage insights to drive strategic improvements.

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  1. IMBD-Review-Sentiment-Prediction IMBD-Review-Sentiment-Prediction Public

    Stats 101C final project using R to predict IMBD review sentiment.

    R

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

    The goal of this research is to explore and understand the relationship between the price of housing and the different attributes of housing, such as lot size, location, etc. Ultimately, can we use…

    R

  3. Yelp-Dataset-Analysis Yelp-Dataset-Analysis Public

    Stats141 final project using R, Python, and Tableau to analyze Yelp data

    Jupyter Notebook

  4. Drug-Effect-on-Attention-Study Drug-Effect-on-Attention-Study Public

    A Study on Drug Effects: Testing the Benefits of Caffeine and Nicotine on Attention using repeated measure

    R

  5. Stats-112-Final-Project Stats-112-Final-Project Public

    Text Mining on papers using Text Networks, Cluster Dendrogram, and LDA modeling with R

    R

  6. PIC-16B-Project PIC-16B-Project Public

    Forked from NamTTruong/PIC-16B-Project

    Yelp review true rating prediction with neural networks and Bert model.

    Python