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Peter-Nooteboom/README.md

Hello! My name is Peter Nooteboom πŸ‘‹

I have 10+ years of experience managing and analyzing data, and nearly 4 years of experience applying my data science skills to help companies generate insights that drive innovation in digital health-related products. I have my Ph.D. in Health & Quantitative Psychology from UCLA. My experience has focused on leveraging quantitative analysis, product experimentation, data modeling, and machine learning to understand health and user behavior processes, and leverage those insights to inform the creation and improvement of innovative products and digital platforms.

Here you will find several of my data science projects applying machine learning and statistical modeling to answer interesting questions and solve valueble problems.

Pinned

  1. Parking_Citation_Revenue Parking_Citation_Revenue Public

    Predicting LA daily parking citation revenue for the forthcoming quarter using an XGBoost time series prediction model.

    Jupyter Notebook

  2. Generating_Health_Data Generating_Health_Data Public

    Using a generative adversarial network to generate health data and evaluating its improved accuracy in classification models.

    Jupyter Notebook 1

  3. Happiness_During_Crisis Happiness_During_Crisis Public

    Understanding and predicting global happiness following The Great Recession and the COVID-19 pandemic.

    Jupyter Notebook

  4. Wordle_Solutions Wordle_Solutions Public

    Wordle Solutions Data Analysis: 8 insights & visualizations to help you beat the game in fewer turns.

    Jupyter Notebook