Salvatore M.

Salvatore M.

Data Scientist

Switzerland
Trusted member since 2025
8 years of experience

He has worked with Aon, Generali, and Allianz, developing advanced models in the insurance and telematics domains. By combining deep domain knowledge with technical excellence, he contributes actionable insights to product development, pricing strategies, and user experience optimization.

Salvatore is a thoughtful and analytical problem solver, recognized for addressing complex challenges with precise and innovative solutions that deliver both technical quality and business impact.

Main expertise

PythonPython8 years
Data ScienceData Science8 years
Machine LearningMachine Learning8 years
Scikit-learnScikit-learn8 years
23+

Experience3

AON

Senior Data Scientist

AON
Insurance
Jan 2022 - Jan 2025 · 3y

Aon is a global professional services firm providing risk, insurance, and data-driven advisory solutions to enterprise clients.

  • Designed and implemented models using telematics data from insured vehicles
  • Developed a deep learning model to score customers based on their driving behaviour using an FCN (Fully Convolutional Network)
  • Developed a crash detection model using an LSTM network to identify vehicle crashes
  • Developed several Python packages (e.g., PyTorch utilities for time series data)
  • Built an MLOps stack incorporating experiment tracking, model versioning, model serving, and monitoring
DockerDocker
AWSAWS
PythonPython
SQLSQL
RustRust
15+
Generali

Data Scientist

Generali
Insurance
Jan 2019 - Dec 2021 · 2y 11m

Generali is one of Europe’s largest insurance groups, delivering data-driven insurance and financial solutions worldwide.

  • Developed a real-time deep learning model to detect car crashes using telematics data
  • Developed a customer scoring model based on driving behaviour using the LightGBM library
  • Built a traffic forecasting model to estimate the decrease in the number of claims due to COVID-19 lockdowns
  • Developed a reinforcement learning model to identify customers to contact in order to maximize the conversion rate of marketing campaigns
DockerDocker
PythonPython
SQLSQL
Google CloudGoogle Cloud
TensorFlowTensorFlow
10+
Allianz

Data Scientist

Allianz
Insurance
Mar 2017 - Dec 2018 · 1y 9m

Allianz is a global insurance and financial services provider serving millions of customers worldwide.

  • Developed a Dynamic Pricing Algorithm to optimize the trade-off between conversion rate and expected profitability in line with business targets.
  • Developed conversion and churn models using Random Forest and Gradient Boosting algorithms.
  • Developed models underlying the evaluation of technical premiums.
  • Contributed to tariff development.
  • Developed regression models to predict competitors’ prices.
PythonPython
SQLSQL
NumPyNumPy
XGBoostXGBoost
PandasPandas
5+

Assessments

Engineering excellence

Salvatore’s overall performance in a 90-minute live technical assessment ranks in the top 5% of vetted Data Scientists at Proxify.

Certificates 6

Dagster EssentialsDagster University

Issued Apr 2024
Credential ID 8l8dydppwg

PythonPython
DagsterDagster
Data Engineering, Big Data, and Machine Learning on GCPCoursera Inc.

Issued Nov 2020

PythonPython
SQLSQL
Google CloudGoogle Cloud
NumPyNumPy
PandasPandas
Scikit-learnScikit-learn
Machine LearningMachine Learning
PySparkPySpark
Dagster EssentialsDagster University

Issued Apr 2024
Credential ID 8l8dydppwg

PythonPython
DagsterDagster
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Portfolio

Highlighted by Salvatore

Ramer-Douglas-Peucker (RDP) Python Package 1
May 2025
Ramer-Douglas-Peucker (RDP) Python Package

This Python package provides an efficient implementation of the Ramer-Douglas-Peucker algorithm using Rust and PyO3. The algorithm simplifies a curve composed of line segments by reducing the number of points while preserving the overall shape.

Duration0m

Education

Università degli Studi di Trieste
Università degli Studi di Trieste
Statistics and Actuarial Science2014 - 2017
Università degli Studi di Trieste
Università degli Studi di Trieste
Mathematics2011 - 2014

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