🎓 MADS @ University of Michigan
I'm a Master's student in Applied Data Science at the University of Michigan with a strong foundation in mathematics and statistics.
I enjoy building end-to-end data systems, from data ingestion and preprocessing to machine learning models and visualization.
- 🎓 MADS @ University of Michigan (4.0 GPA)
- 📔 B.S. Mathematics (Statistics), Arizona State University — Summa Cum Laude (4.0 GPA)
- 📊 Experience in machine learning, analytics, and dashboards
- ⚙️ Currently focusing on data engineering + ML pipelines
- Interactive dashboard analyzing 1,000+ tracks across 10 genres
- Built with Plotly (scatter, histogram, violin plots)
- Revealed relationships between energy, tempo, and popularity
👉 (https://github.com/Raymay3/Spotify-Data-Visualization-Project)
- Built ML models (logistic regression, random forest, SVM, neural networks)
- Applied feature selection (RFE) and statistical testing
- Achieved 98.08% accuracy and AUC = 0.995
👉 (https://github.com/Raymay3/MAT-422---Math-Methods-in-Data-Science---Diabetes-Data-Project)
- Built dashboards that contributed to a 30% increase in production
- Analyzed clinical + financial data to support decision-making
- Maintained 98–99% collection rates through revenue analysis
- 📘 University of Michigan — Master of Applied Data Science (2025–2027)
- 📒 Arizona State University — B.S. Mathematics (Statistics), Summa Cum Laude
- ⚙️ Data Engineering Projects (ETL pipelines, scalable systems)
- 🤖 Machine Learning + Model Deployment
- 📊 Advanced Data Visualization
I’m also a competitive classical pianist with 14+ years of training and international performance experience 🎶