Essentials About Me
Sparing you clichés like “extremely motivated”, “hardworking”, et cetera, here are some essentials about me:
Academics
Currently pursuing a Master of Science in Statistics at the University of Oxford. Graduated Cum Laude with a Bachelor of Science in Computer Science and Economics from Bocconi University. Completed an exchange semester at the Georgia Institute of Technology with a 4.0/4.0 GPA.
Industry
Completed a 6-month data science internship at Amazon Luxembourg and a 3-month cybersecurity internship at Deloitte Italy, both during my bachelor's term time.
Extracurriculars
Co-founded and led Bocconi Students for Machine Learning, and participated in several other university associations, both at Oxford and Bocconi. I'm also a member of some mentorship and talent networks.
Research Interests
Both at Amazon and in my undergraduate thesis, I explored the application of machine learning and advanced statistical techniques (mainly Bayesian Optimisation) to optimise database systems, which are complex, expensive-to evaluate, black-box functions. Additionally, I employed network science to model web page interconnectivity at Bocconi Students for Machine Learning.
Career Highlights
Where
University of Oxford | Oxford, United Kingdom
When
September 2024 - September 2025 (12 months)
What
- Master of Science in Statistical Science (details here)
- Relevant Coursework: Statistical Machine Learning, Advanced Statistical Machine Learning, Applied Statistics, Statistical Inference, Statistical Programming, Computational Statistics, Stochastic Models in Mathematical Genetics, Graphical Models, Advanced Simulation Methods
Skills Acquired
- Probability Theory
- Statistical Modelling
- Markov Chains
- Combinatorics
- Multivariate Statistics
- Stochastic Processes
Where
Bocconi University | Milan, Italy
When
September 2021 - July 2024 (3 years)
What
- Bachelor of Science in Computer Science and Economics (details here)
- Grade: 110/110 Cum Laude (highest possible)
- Relevant Coursework: Machine Learning, Computer Programming, Computer Science, Big Data and Databases, Applied Mathematics, Statistics, Advanced Statistical Methods, Game Theory, Microeconomics, Macroeconomics, IT Law, Accounting, Finance, Econometrics
- Thesis: “Bayesian Optimization for Database Management” (thesis file here)
Skills Acquired
- Machine Learning
- Calculus
- Linear Algebra
- Data Structures
- Python
- R (Programming Language)
Where
Georgia Institute of Technology | Atlanta, Georgia, USA
When
January 2024 - May 2024 (4 months)
What
- Exchange semester
- Grade: 4.0/4.0 (highest possible)
- Relevant Coursework: Understanding Markets with Data Science, Network Science, Labor Economics
Skills Acquired
- Graph Theory
- Regression Analysis
- Big Data
- Algorithms
- Computational Modelling
- Econometrics
Where
Amazon | Luxembourg, Luxembourg
When
June 2023 - November 2023 (6 months)
What
- Business Intelligence Engineer Intern
- Identified and corrected inefficiencies in warehousing strategies through data mining techniques
- Developed machine learning models to optimise the performance of several Database Management Systems (DBMSs), reducing their running time by up to 75%, and helping to achieve an estimated reduction in costs of €14 million
- Designed data pipelines that automate the collection of data through various AWS applications
Skills Acquired
- Data Science
- Amazon Web Services (AWS)
- Optimisation
- Big Data Analytics
- Software Development
- Artificial Intelligence (AI)
Where
Deloitte | Milan, Italy
When
January 2023 - April 2023 (3 months)
What
- Cyber Security Analyst Intern
- Worked in the actuarial division
- Used statistical techniques to quantify the client’s cybersecurity risks, increasing accuracy in prediction by 26%
Skills Acquired
- Actuarial Consulting
- Risk Assessment
- Cyber Risk Management
- Experimental Design
- Statistical Inference
- Applied Probability
Where
Bocconi Students for Machine Learning | Milan, Italy
When
June 2023 - June 2024 (12 months)
What
- President & Co-Founder (Bocconi Students for Machine Learning website)
- Managed 100+ members and led two research groups
- Organised hackathons and machine learning events (e.g., tech interns experience, discussions about papers)
Skills Acquired
- Team Leadership
- Recruiting
- Technical Writing
- Event Planning
- Public Speaking
- Mentoring