Data Scientist · Varese, Italy

Simone Bogni

Analytically minded and team-oriented, with experience driving business value through advanced Data Analysis, Machine Learning and Generative AI.

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Career Timeline

  • 2017 – 2020

    Bachelor of Science, Statistics and Economics

    University of Milano-Bicocca

    Milan, Italy

    Three-year degree in statistics and economics.

    Grade: 110/110 cum laude

    Thesis: "Q-learning Approaches For Complex Dynamic Treatment Regime Problems", advisor Prof. Matteo Borrotti.

  • Feb 2020 – May 2020

    Curricular Internship

    University of Milano-Bicocca

    Varese, Italy

    Short internship applying statistics to a biomedical problem.

    Developed and evaluated statistical models in a biomedical research context.

  • 2020 – 2021

    Conference Publication

    SIS2021 Conference

    Italy

    Co-authored short paper: "Q-learning Estimation Techniques for Dynamic Treatment Regime."

    Proposed statistical models to improve personalized-medicine treatment prescription, with Debora Slanzi and Matteo Borrotti.

  • 2020 – 2023

    Master of Science, Statistics and Data Science

    University of Milano-Bicocca

    Milan, Italy

    Master's degree focused on statistical modelling and data science.

    Grade: 110/110 cum laude

    Thesis: "Anomaly Detection for Network Traffic Analysis", advisor Prof. Matteo Borrotti.

  • 2021

    SAS Certification

    SAS

    SAS Certified: Machine Learning Using SAS Viya 3.5.

  • 2021 – 2023

    Junior Data Analyst

    Elmec Informatica — Cybergon

    Varese, Italy

    Part-time role in Cybergon, Elmec Informatica's cyber security business unit.

    Developed Anomaly Detection algorithms for real-world network traffic data streams.

    Deployed Machine Learning models with Kubernetes.

  • 2023 – Present

    Data Scientist

    Leonardo Helicopter Division

    Varese, Italy

    Full-time role in Leonardo's Digital Transformation office.

    Designed, developed and deployed a full-stack scalable agentic RAG system for technical and HR documentation.

    Built an OCR-based automatic translation system for the operations office.

Dataset · skills.csv

Skills & Stats

A rigorous analysis of a mostly-serious dataset.

Tools & languages

PythonRGitSQLMongoDBLinuxKubernetesSparkTableauSASDockerReact

Focus areas

  • Data Analysis
  • Modelling
  • Automation
  • Communication
  • Visualization
  • Prompt Engineering

Spoken languages

  • English
  • Italian
35

Failed SQL queries debugged in the last week alone

4

Times I swore at Git over a merge conflict this year

430

Hours spent decoding Java stack traces

6

Slides remade because the chart's red wasn't red enough