🎓 Senior majoring in Mathematics at Boston College
📊 Aspiring Data Scientist passionate about turning data into meaningful insights
🎯 Combining my background in mathematics with programming to tackle real-world challenges
- 📈 Data Science & Machine Learning
- 🤖 Building predictive models with scikit-learn
- 🎮 Analyzing Valorant Championship Tour match data to predict game outcomes before they happen
- 🧮 Applying statistical and mathematical rigor to sports & esports analytics
- Languages: Python, Java, SQL, R, LaTeX
- Libraries & Frameworks: scikit-learn, pandas, NumPy, matplotlib, seaborn
- Specialties: Predictive modeling, statistical analysis, data visualization
- Other: Git/GitHub, data cleaning, feature engineering
Using historical Valorant pro match data from VLR.gg, this model analyzes team and player performance statistics to generate win probability predictions before each match.
Technologies: Python, scikit-learn, pandas, matplotlib