Skip to content
View PatriciaLJohnson's full-sized avatar
  • Atlanta

Block or report PatriciaLJohnson

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Popular repositories Loading

  1. New-York-Stock-Exchange-NYSE-Financial-Analysis New-York-Stock-Exchange-NYSE-Financial-Analysis Public

    This project showcases my analysis of real-world financial data from the New York Stock Exchange (NYSE). I worked with a dataset from Kaggle, which includes historical financial information on comp…

    1 1

  2. SQL-Database-Analysis SQL-Database-Analysis Public

    In this analysis, I developed SQL queries for the Chinook Database, which contains information about a digital music store. The goal was to assist the Chinook team in better understanding their med…

  3. US-Census-Demographic-Data-Visualization-Tableau- US-Census-Demographic-Data-Visualization-Tableau- Public

    In this project, I created data visualizations to reveal insights from Kaggle’s US Census Demographic dataset. Using Tableau, I designed seven visualizations that tell a story and highlight pattern…

  4. AWS-PartyRock-Planner-No-Code-AI-App AWS-PartyRock-Planner-No-Code-AI-App Public

    AI-powered party planning assistant built with Amazon PartyRock — generates personalized themes, playlists, decor, and more based on your occasion and preferences.

  5. Healthcare-Risk-Prediction-with-Random-Forest Healthcare-Risk-Prediction-with-Random-Forest Public

    This project is a healthcare AI model built using Python and scikit-learn to predict patient health risk levels (Low, Moderate, High) based on demographic, socioeconomic, and medical history data.