Based in Naples, Italy. Currently completing an MSc in Applied Computer Science (Machine Learning & Big Data) at the University of Naples "Parthenope" (Expected: April 2026), after graduating BSc with 110/110 Summa Cum Laude with Special Mention.
- Master's Thesis (CI&SS Lab): Researching and implementing conditional generative models (Diffusion Models) applied to tabular data generation and synthetic data augmentation.
- Explainable AI (XAI): Applying Feature Importance analysis and XAI techniques to ensure interpretability and transparency of complex predictive models.
- Data Mining: Extracting association rules via Market Basket Analysis to identify recurring patterns in large-scale datasets.
- Research Intern at the National Research Council (CNR), where I developed AUDO4RIAS — a tool to automate the molecular docking process using bioinformatics libraries.
- Programming Tutor (2023–2025) at the University of Naples "Parthenope", supporting 30+ students per semester on C/C++ algorithms and data structures.
Languages:
Machine Learning & Data Science:
Tools & Environment:
- LinkedIn: Alfredo Mungari
- Email: [email protected]
- ResearchGate: Alfredo Mungari