Professional Experience

Data Scientist, Aftersales Business Intelligence

Gruppo Danieli | Buttrio, Italy September 2023 – September 2025

  • Streamlined data collection methods to minimize analysis errors
  • Automated repetitive tasks using Power BI, Python, and Azure, significantly saving time during the analytical process
  • Translated business requirements into data-driven solutions, providing value-added insights that directly contributed to strategic goals
  • Focused on pricing strategy development with multiple in-depth training sessions
  • Designed interactive dashboards and reports, providing real-time business intelligence to stakeholders
  • Implemented robust data governance practices, ensuring data integrity and compliance

Master Thesis Project Intern

Evolutionary Robotics and Artificial Life Lab, University of Trieste | Trieste, Italy March – July 2023

  • Conducted research and development of an AI agent using Reinforcement Learning to operate in stochastic, graph-based environments
  • Designed and implemented custom training pipelines, optimizing model performance through experimentation
  • Utilized Python, PyTorch, and PyTorch Geometric for model development
  • Employed GitHub for version control and collaborative workflow management

Machine Learning Developer

Ernst & Young | Trieste, Italy February – May 2022

  • Developed software for automatic military document control verification and compliance
  • Improved machine learning model accuracy using advanced OCR algorithms
  • Tools: Microsoft Azure, Python, Microsoft Excel
  • Teamwork and customer consulting (B2C)

Data Reporter Intern

IFCQ Certificazioni Srl | San Daniele, Italy December 2020 – February 2021

  • Use of Microsoft Power BI and Microsoft Excel to construct dashboards for sales and internal usage
  • Technical and IT internal support

Education

Master’s Degree in Data Science and Scientific Computing

University of Trieste | Trieste, Italy March 2019 – July 2023

Combination of key areas of digital transformation: data science, statistics and artificial intelligence

Key Courses:

  • Machine Learning: Deep Learning, Reinforcement Learning, Supervised Learning, Data Mining
  • Algorithms, Advanced Programming, Mathematical Modeling
  • Thesis: Deep Learning and Reinforcement Learning applied to strategic simulation scenarios

Bachelor’s Degree in Computer Science

University of Udine | Udine, Italy September 2015 – December 2018

  • Software development and complex data structures
  • Algorithm complexities and optimization
  • Mathematics and logic problem solving

Diploma in Informatics and Telecommunications

I.S.I.S “A. Malignani” | Udine, Italy September 2009 – June 2015

  • Programming with C++, Java, SQL basics
  • Web development fundamentals

Technical Skills

Machine Learning & AI

  • Paradigms: Supervised Learning, Deep Learning, Deep Reinforcement Learning
  • Techniques: Neural Networks, Multilayer Perceptron, CNNs, Graph Convolutional Networks, DQN algorithm
  • Applications: Regression, Classification, Naïve Bayes, Decision Trees

Programming Languages

  • Python (Expert): numpy, pytorch, pytorch-geometric, tensorflow, pyro, scikit-learn, pygame, yfinance, ipywidgets, plotly, FAST API
  • Web Development: JavaScript, Node.js, React
  • Databases: SQL, Redis, PostgreSQL
  • Other: C#, C++, C, Java, DAX, PowerQuery

Tools & Platforms

  • Data & BI: Power BI, Microsoft Excel, Azure
  • Development: GitHub, CI/CD, Agile methodology
  • Backend: Supabase, Artifact

Specialized Abilities

  • Algorithm computational complexities
  • Software engineering and microservices architecture
  • Design patterns
  • Project management and versioning systems
  • Organization and coordination of software engineering projects

Languages

  • Italian: Native
  • English: Professional working proficiency