Available for projects

Leonardo
Vannoli

Freelance Data Scientist

Ph.D. Physicist with experience at CERN. I help businesses transform complex data into actionable insights through machine learning, Bayesian inference, and rigorous statistical analysis.

λ whoami
leonardo.vannoli
λ cat expertise.json
{
"ml": ["Deep Learning", "GNNs", "CNNs"],
"stats": ["Bayesian", "Monte Carlo"],
"data": "petabyte-scale"
}

Skills & Expertise

Programming

Python Pandas NumPy SciPy R C++ SQL Bash JAX

Machine Learning

Deep Learning PyTorch TensorFlow GNNs CNNs RNNs Transformers Generative Models

Statistics & Modelling

Bayesian Inference GLMs Monte Carlo Time-Series Uncertainty Quantification Model Calibration

Tools & Platforms

GCP Docker Git Power BI Grafana ROOT LaTeX MLOps

Experience

Oct 2025 – Present

Decision Scientist

Tulanā · London, UK

  • Inventory optimization models for cost reduction and safety stock optimization
  • Part segmentation framework for data-informed stocking decisions
  • Scalable data pipelines on GCP for advanced analytics
Oct 2024 – Mar 2025

Data Specialist

IMPACT Initiatives · Amman, Jordan

  • Led team of six analysts during Syria's political transition
  • Multi-indicator framework for humanitarian needs assessment
  • ML project integrating satellite imagery for agricultural detection
Nov 2022 – Oct 2024

Post-Doctoral Data Scientist

University of Genoa & LNF · CERN ATLAS

  • Petabyte-scale data analyses with Bayesian methods & Monte Carlo
  • JAX-based ML track reconstruction with differentiable programming
  • Transformer-based GNN for jet classification (2x performance gain)
  • CNN-based assembly tool achieving micrometric precision
Nov 2019 – Nov 2022

Ph.D. Researcher

CERN · Geneva, Switzerland

  • Data acquisition and analysis for sensor-based tracking systems
  • Co-authored 350+ ATLAS publications
  • Awarded CERN Doctoral Grant and Best Communicator (SIF2020)

Education

Ph.D. in Physics and Nanoscience

University of Genoa

2019 – 2023 · Genoa, Italy & Geneva, Switzerland

Thesis: "Towards the construction of a new tracker for the ATLAS detector at the HL-LHC"

Master's Degree in Physics

University of Rome, La Sapienza

2016 – 2019 · Rome, Italy

110/110 cum laude · Thesis: "Study of the Micromegas Chambers for the Upgrade of the ATLAS Experiment"

Let's Work Together

Looking for a data scientist for your next project? Let's discuss how I can help transform your data into valuable insights.

LV