Vincenzo Ventriglia

I'm a |

About Me

Vincenzo Ventriglia

Data Scientist & Machine Learning Engineer

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 and Germany, 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 (maybe you spotted San Carlo in the sidebar), talking about finance, organising tech conferences, or learning a new language.

  • Latest Role: Data Scientist & MLE @ INGV
  • Based in: Rome & Naples, Italy

Short CV

This is a (very) short CV; if you are interested in the full one, please contact me.

Experience

Data Scientist & MLE

12/2023 - to date

Istituto Nazionale di Geofisica e Vulcanologia (INGV), Rome (IT)

Data Scientist

09/2022 - 11/2023

Zanichelli Editore, Bologna (IT)

Data Engineer

08/2021 - 08/2022

Deloitte Consulting, Bologna (IT)

Research Intern

02/2017 - 05/2017

Istituto Nazionale di Fisica Nucleare (INFN), Naples (IT)

Education

MSc in Theoretical Physics

09/2017 - 07/2020

Università "Federico II", Naples (IT)

Erasmus+

03/2019 - 08/2019

Goethe-Universität, Frankfurt am Main (DE)

BSc in Physics

09/2013 - 05/2017

Università della Campania "Vanvitelli", Caserta (IT)

Skills

Programming Languages

Python
  • I have been using it since 2019 for work, university courses and side projects
SQL
  • Zanichelli: ETL for ML processing, data analysis
  • Deloitte: ETL, data warehousing, BI
C
  • My first exposure to programming

Data Mining & Visualization

pandas, NumPy, Polars
  • INGV
  • Zanichelli
  • Personal projects
Streamlit
  • INGV: ML model demos
  • Zanichelli: developed an actionable app from scratch to democratise data access for C-suite
  • Personal projects: Personal Finance for Newbies
Plotly
  • INGV
  • Zanichelli
  • Personal projects
Matplotlib, seaborn
  • Whenever I need highly customised images

ML Frameworks

CatBoost
  • INGV: probabilistic forecasting, time-series classification
  • Zanichelli: demand forecasting
scikit-learn
  • INGV: advanced feature engineering
  • Zanichelli: explainable clustering of user sessions in digital applications
Keras
  • INGV: time-series forecasting (LSTM)
  • Personal projects: forecasting COVID-19 infections (LSTM, GRU)
SHAP
  • INGV: model explanation and validation
  • Zanichelli: model explanation and validation

BI & Analytics

Power BI
  • Deloitte: near-real-time sales dashboard for a leading hearing aid retailer
Tableau
  • First self-teaching BI project
Excel & VBA
  • Deloitte
  • Managing personal documents

ETL & Orchestration

Oracle Data Integrator (ODI)
  • Deloitte: data integration for corporate finance, creation of a central data warehouse for CRM
Dagster
  • Zanichelli: contributed to the definition and implementation of modern data pipelines

CI/CD & MLOps

Git
  • I even version my notes with Git...
Docker
  • INGV
  • Zanichelli
  • Personal projects
Jenkins
  • Zanichelli
MLflow
  • INGV
FastAPI
  • INGV

Databases

Oracle
  • Zanichelli
  • Deloitte
Postgres
  • Zanichelli
AWS Athena
  • Zanichelli
MongoDB Atlas
  • Personal projects: Personal Finance for Newbies

Languages

Italian
  • Native
English
  • Fluent (C1)
  • University and work in English
German
  • Pre-intermediate (A2)
  • Lived 7 months in Frankfurt am Main, Germany

Expertise

Machine Learning


  • Time Series: Scalable forecasting with statistical, econometric and machine learning models; Probabilistic forecasting; Advanced feature engineering

  • Real-time inference: Designed, developed and deployed real-time models, integrating data from heliophysics satellites, ionosondes, and magnetometers

  • Uncertainty Quantification: Probabilistic forecasting and post-hoc UQ with Conformal Prediction

  • XAI: Explainability with SHAP, a game theoretic approach to explain the output of any model

  • Other: Executed a variety of classification, regression, and clustering tasks, including user segmentation, churn prediction, and demand/sales forecasting for strategic planning

    • Business Intelligence & Analytics


  • Web Applications: Full-stack developement of an actionable web app from scratch to democratise data access for C-suite, which has become the de facto standard in the company; Developed a web app to produce near real-time statistics on any investment portfolio

  • Dashboard: Near real-time sales dashboard for a leading hearing aid retailer

  • ETL & Data Integration: Data integration for corporate finance; Creation of a central data warehouse for CRM; Contributed to the definition and implementation of modern data pipelines

    • Space


  • Space Weather: Tech lead in the development of an explainable forecasting model within the framework of an European Union scientific research initiative, designed to assist the cost- and risk-sensitive decision making for critical ionospheric phenomena

  • GNSS positioning: Research project aiming to apply machine learning models for regional Global Navigation Satellite System (GNSS) ionospheric scintillation forecasting at low latitudes

  • Remote Sensing: Satellite imagery to perform Earth observations to study the effect of wildfires, assessing vegetation health and its changes over time

  • Relativistic Astrophysics: Numerical integration of light-like geodesics of a rotating black-hole spacetime, simulating photons orbiting the black hole

    • Data-driven Marketing


  • A/B testing: Assessing the impact of marketing campaigns

  • CRM: Creation of a central data warehouse to ensure uniform CRM KPIs and consistent marketing funnel analysis for a leading hearing aid retailer

  • Digital: Customer sentiment and feedback analysis on the digital application for a major European bank; Explainable clustering of user sessions in digital applications for a leading Italian publisher

    • Finance


  • Corporate Finance: Data integration for corporate finance, support for financial controllers interacting with mission-critical analytics applications for a leading automotive manufacturer

  • Portfolio Management: Starting from buy/sell transactions, Personal Finance for Newbies (or PFN) produces easy-to-use, near real-time statistics on any investment portfolio, providing insights from higher-level metrics (P&L, asset class weights) to those pertaining to risk and returns over time

  • M&A: Market analyses to support CEO strategic decision making for potential M&As

    • Conferences

    Here are some conferences and initiatives related to AI, data or broader research.

    PyData Roma Capitale logo

    PyData Roma Capitale | Organiser

    Part of the organising team of the Roman chapter of PyData, a community for everyone who loves Python, data and meeting tech fellows.

    Our goal is to foster an inclusive environment for connecting, sharing work, and exchanging ideas on evolving challenges in AI, data science & engineering, research, and industry. We are passionate about open-source tools and bringing together enthusiasts and professionals from diverse backgrounds.

    Meetup Linkedin

    Some conferences I attended (A) or contributed (C) to

    Upcoming
    • Mathematics for Signal Processing and Applications in Geophysics and Other Fields (C)
      June 2025 – L'Aquila, Italy
    • PyCon DE & PyData 2025 (C)
      April 2025 – Darmstadt, Germany
    • Machine Learning and Computer Vision in Heliophysics (C)
      April 2025 – Sofia, Bulgary
    Past
    • New Space Economy Expoforum (C)
      December 2024 – Rome, Italy
    • Space Weather Italian Community Congress (C)
      November 2024 – Rome, Italy
    • PyData Amsterdam 2024 (A)
      September 2024 – Amsterdam, Netherlands
    • 4th URSI Atlantic Radio Science Meeting (AT-RASC) (C)
      May 2024 – Gran Canaria, Spain
    • PyCon Italia 2023 (A)
      May 2023 – Florence, Italy

    Projects

    Here is a selection of projects I have worked on as a researcher, as a student or in my leisure time.

    • All
    • Time Series
    • Remote Sensing
    • Space
    • Finance
    • Quantum
    • Other
    T-FORS project

    Traveling Ionospheric Disturbances Forecasting System (T-FORS), funded by the European Community, Horizon Europe

    GitHub Preprint
    Scintill-AI project

    Research project for GNSS ionospheric scintillation forecasting at low latitudes

    GitHub
    Vesuvius Sentinel (Earth Observation project)

    Satellite imagery project (Sentinel-2 mission) to study Mount Vesuvius pre- and post-July 2017 wildfires

    GitHub
    Personal Finance for Newbies

    Web app to produce near real-time statistics on your investment portfolio

    GitHub Web App
    k-means for time series analysis

    Machine Learning algorithm to identify periods of growth, decline and stationarity in stock data

    GitHub
    Quantum Neural Network

    Does adding quantum features improve the overall performance of a neural network?

    GitHub
    Black hole ray tracing image

    Image of a black hole, produced by ray tracing photons in a rotating spacetime in General Relativity

    GitHub
    Secret santa mailer project

    Draw a recipient for each secret Santa and send an email to each Santa's inbox of who their gift recipient is

    GitHub