A list of all publically available data science projects I have worked on.

1. AEP Energy Prediction

   • Description: Learning the basics of time series analysis and predicting
   • Technologies Used: I explore time series data using XGBoost and Facebook Prophet models.
   • Results: Succesfully predict energy usage and forecast future energy usage
   • HTML Jupyter Notebook

2. Stock Selling Analysis

   • Description: Using technical indicators and machine learning techniques to predict when to sell stocks.
   • Technologies Used: The notebooks uses Decision Trees, Random Forest, and XGBoost.
   • Results: RSI and ADX were found to have the most potential for predicting potential short term upside value.
   • HTML Jupyter Notebook