🎓 MSc student in Statistics & Actuarial Science at Università degli Studi del Sannio
📊 Passionate about data science, statistical modeling, and machine learning applications in sports and healthcare
- Comparative analysis using logistic regression, LDA, bagging, random forest (with hyperparameter tuning), and feedforward neural networks
- Includes SHAP explainability, ROC/Brier/F1 metrics, full data pipeline, and reproducible code
- 📘 Full paper on Zenodo
- 📊 Cleaned dataset on Kaggle
- Developing a multimodal deep learning model combining CNNs for dermatoscopic images with dense layers for clinical metadata
- Will include model architecture, training pipeline, validation metrics, and SHAP-based interpretability
- ✉️ Email: mmorella9@gmail.com
- 🧠 Zenodo: zenodo.org/record/16034196
- 🐱 GitHub: @mat126