Michele Autorino
ECE & Stats @ Illinois | Interested in NLP, Cloud Computing, and Backend Development
About Me
I'm a sophomore studying Computer Engineering & Statistics at UIUC, constantly learning how math and code can come together to solve real-world problems.
I've built sentiment-analysis pipelines, explored 3D graphics research in Unreal Engine, and prototyped fraud-call detectors using NLP.
Outside of programming, you'll find me watching UFC fights, playing soccer and basketball with friends, or relaxing to some Bossa Nova.
Featured Projects
Personal Portfolio Website
A modern, responsive portfolio website showcasing my projects and skills with smooth animations and a clean design.
NBA Player Valuation Model
Scraped NBA stats from multiple sources, evaluated player contributions using Lasso regression and clustering, and visualized insights.
Fraud Call Detection Model
Used NLTK and bag-of-words to vectorize call transcripts and built a logistic regression pipeline with scikit-learn, achieving 89% accuracy in detecting fraud.
Link Analyzer Webcrawler
A modern web application that analyzes websites by extracting metadata, counting links and images, and providing valuable insights about web pages.