Here are a few projects from classes and internships.
Project One: Nebula
Purpose: Explore and visualize sound using math equations. This
project uses the computer's microphone to capture sound, and
applies the sound data to generate dynamic, colorful visual
patterns in real-time using math equations. It is made up of two
reactive nebulas that moved based upon the bass and treble.
Project Two: Gridiron Guru
Purpose:Predict NFL game outcomes using machine learning techniques.
I built a model in Python leveraging Pandas, NumPy, and scikit-learn,
applying logistic regression with cross-validation to ensure reliable
performance. To optimize results, I developed and trained a scikit-learn
pipeline that incorporated targeted feature extraction and iterative tuning,
ultimately achieving a 70% prediction accuracy on recent seasons.
Project Three: Hash Guard
Purpose:I deployed a secure authentication system that utilized salted SHA-512 password
hashing to ensure strong protection of user credentials, integrating robust
file I/O operations and comprehensive exception handling to maintain system
reliability. As this is a back end project, there is no visual component.