Vincenzo Ventriglia
A results-driven data professional – focused on hype-free solutions tailored to business needs.
I am currently creating value at the National Institute of Geophysics and Volcanology (INGV), where I develop machine learning models in the Space Weather domain. My job is complemented by finding the hidden stories in data and make them accessible to stakeholders. I studied Physics in Italy (Napoli) and Germany (Frankfurt am Main), previously worked on Analytics in the strategic division of the world's largest professional services network, and in the Data Science department of the leading Italian publisher.
When not at work, I enjoy theatre, talking about finance or learning a new language.
Session
Quantifying model uncertainties is critical to improve model reliability and make sound decisions. Conformal Prediction is a framework for uncertainty quantification that provides mathematical guarantees of true outcome coverage, allowing more informed decisions to be made by stakeholders