
Engineering Management student at Politecnico di Torino with experience in applying data analysis and AI to sustainability challenges. Led the development of a deep-tech CO2 capture solution, leveraging data-driven models to optimize energy efficiency and predict performance. Skilled in Python, machine learning, data visualization, and sustainable technology innovation.
Winner of the Polito Challenge by Firm, developing a deep-tech system for CO2 capture with AI-driven predictions to optimize consumption and recommend ideal ratios.
Python programming, data analysis, machine learning, and data visualization. It focuses on practical applications using tools like Jupyter, SQL, and libraries such as Pandas and Matplotlib.
Database Management
Data Science
Python Programming
Plotly
SQL
Microsoft Office Suite (Excel, Word, PowerPoint)