Data Scientist · ML Engineer · Naples, Italy
Data Scientist with hands-on industry experience building production systems, developing machine learning solutions, and delivering data-driven results across technology and financial sectors. Proven ability to work across the full data lifecycle, from data engineering and model development to deployment and monitoring in cloud environments.
A strong collaborator and team leader, with experience in Agile environments and cross-functional teams. Currently pursuing a Master's in Data Science at the University of Naples Federico II, bringing fresh academic knowledge directly applicable to real-world business challenges.
Recognized for leadership and innovation, having led Team Hindustani to 1st place in the STEM category at Google Challenge Campania 2026, delivering a generative AI solution under competitive conditions.
Containerized production API with real-time and batch network security predictions.
Live API DocsCustomer churn prediction using Artificial Neural Network with dropout regularization, deployed via Streamlit.
Live DemoContent-based and collaborative filtering movie recommender built with cosine similarity and deployed as an interactive web app.
Live DemoMulti-class image classifier using CNN with data augmentation and transfer learning.
Real-time sentiment and fault classification on high-volume data streams.
View on GitHubClassification pipeline predicting subscription outcomes using Random Forest + PCA.
View on GitHubRidge, Lasso, Elastic Net with bias–variance trade-off visualization.
View on GitHubLed Team Hindustani (4 members) at University of Naples Federico II. Built a generative AI solution using Gemini + NotebookLM Pro. Awarded by Google.