Giulio Caputi
Rumor has it they used to call him “Cap”
This website was manually created using HTML and CSS code, and is hosted on GitHub Pages. It is also accessible via giuliocaputi.github.io
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. 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 (1 year)
What
- Master of Science in Statistics (details here)
- Relevant Coursework: Statistical Machine Learning, Advanced Statistical Machine Learning, Applied and Computational Statistics, Foundations of Statistical Inference, Statistical Programming, Stochastic Models in Mathematical Genetics, Graphical Models, Advanced Simulation Methods
- Thesis: “Forecasting Stock Market Volatility and Designing Options Trading Strategies: a Causal and Machine Learning Approach”
Skills Acquired
- Probability Theory
- Statistical Modelling
- Markov Chains
- Statistical Simulations
- 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
- 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”
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
- 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
- Conducted time-series analysis on large-scale datasets to forecast warehouse demand
- Used Bayesian optimisation to optimise the performance of database systems, modelled as expensive-to-evaluate black-box functions, reducing their running time by up to 75%. This project laid the foundations for my Bachelor’s thesis
- Designed data pipelines to automate data collection with AWS applications (e.g., Redshift, S3, QuickSight)
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
- Performed statistical tests to assess the client’s cybersecurity risks, increasing accuracy in prediction by 26%
- Employed machine learning to create dynamic pricing models for insurance products
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)
- Modelled links between Internet pages with graphs, and identified pages that, although not directly connected, share many neighbours. Goal: identify knowledge that could be employed in fields where it is currently not (project here)
- Participated in a Kaggle competition in which I used machine learning to predict house prices (project here)
- Managed 100+ members, organised hackathons and machine learning events (e.g., tech interns experience, paper discussions)
Skills Acquired
- Team Leadership
- Recruiting
- Technical Writing
- Event Planning
- Public Speaking
- Mentoring