Landed by HTML5 UP

A little more about me:

Some insight to what my portfolio consists of

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Python/Machine Learning NBA Stat Predictor

Web scraped NBA datasets from online sources using Python's 'Pandas" library and read_HTML, resulting in a 40% reduction in manual data collection time and enhanced accuracy by 25%

Utilized the scikit-learn library to apply machine learning techniques to build a program that predicts future NBA statistics with a 54% accuracy.

Project Repo

Python/Selenium Gym Occupancy Bot

Developed a Python script using Selenium and Webdrivers to monitor Virginia Tech gym from a live occupancy web portal

Script scheduled to run every 30 minutes, ensuring real-time updates, and reducing manual monitoring by 100%, enhancing efficiency and timely alerts

Project Repo