Data Science Student @ UPV | Passionate about Machine Learning & Predictive Analytics
Welcome to my GitHub! I am currently pursuing a Degree in Data Science at the Universitat Politècnica de València (UPV). I am actively seeking my first professional opportunity or internship as a Data Scientist or Machine Learning Engineer. I specialize in extracting value from complex datasets, building predictive models, and translating technical results into visual formats that drive business impact.
- Languages: Python, R, SQL
- Machine Learning: Scikit-Learn, XGBoost, LightGBM, Random Forest, Multivariate Statistical Models (PCA, LDA, PLS)
- Data & Visualization: Pandas, NumPy, Matplotlib, Seaborn, ggplot2
- Other: Spatial Data Analysis, NLP (Whisper, mBERT), Git
- 🏈 NFL Big Data Bowl 2026 - CSOE: Developed an advanced metric (CSOE - Closing Speed Over Expected) to evaluate NFL defenses using Python. (Kaggle Competition).
- 🚑 Emergency Routes: AI-based system (NLP + mBERT) to optimize real-time triage and ambulance routing during disaster scenarios (e.g., DANA).
- 🏠 Data Meets Home: Multivariate analysis, district clustering, and real estate price prediction in Valencia using LightGBM and Random Forest models (MAE: €25k) in R.
- ⚽ Football Player Analytics: Analysis of 2,600+ football players. Market value classification with 97% accuracy (LDA) and goal prediction.
