MSc Student in Artificial Intelligence and Data Engineering at the University of Pisa.
Aspiring Data Engineer and Data Analyst with a strong interest in scalable data systems, machine learning, and data processing pipelines. I enjoy working on projects that combine software engineering with data-driven problem solving.
I am a curious and growth-oriented person, motivated to continuously improve my technical skills in the field of data engineering and artificial intelligence. I am particularly interested in data pipelines, distributed systems, and machine learning applications.
Master’s Degree in Artificial Intelligence and Data Engineering University of Pisa October 2025 – Present
Bachelor’s Degree in AI and Data Analytics University of Trieste October 2021 – March 2025
Programming Languages
- Python
- SQL
- PL/SQL
- Java
- C
Data Engineering & Big Data
- Apache Spark
- Oracle Database 19c
- MySQL
- ETL pipelines
- Data Warehousing
Machine Learning & Data Analysis
- Scikit-learn
- Pandas
- NumPy
- Data cleaning and preprocessing
- Statistical analysis
Tools & Platforms
- Git (GitHub, GitLab)
- Linux / Windows
- VS Code, PyCharm, IntelliJ
- Oracle SQL Developer
- Office 365
Text classification system for fake news detection using multiple machine learning models and performance comparison.
Distributed log analytics system using Hadoop MapReduce, Apache Spark, and a REST API for large-scale web server log processing and benchmarking.
Chess data analytics platform using MongoDB, Neo4j, and Spring Boot for large-scale data collection and analysis.
- Data Engineering systems and architectures
- Machine Learning applications
- Scalable data pipelines
- Distributed computing systems