Marco Bucca

Data engineer with advanced skills in Python and SQL. Excellent problem-solving and data analysis skills, with experience using Google Data Studio to optimize business processes. Solid knowledge of risk management, including robust optimization and risk modeling.

I'm particularly interested in working in fields such as finance, consulting, technology, healthcare, and industrial optimization, where data-driven solutions can have a meaningful impact.

• Federated Learning: Model Editing – Implemented federated learning experiments and model editing techniques on image datasets.
• Wine Quality Analysis – Applied supervised and unsupervised learning techniques to explore factors affecting wine quality.
• Airbnb Investment Analysis – Conducted data-driven evaluation of investment opportunities and market trends.
• Real Estate Price Prediction – Developed predictive models for property pricing using regression and machine learning algorithms.
• Approximate Dynamic Programming for Lateral Transshipment – Modeled and optimized logistics decisions under uncertainty.
• Nash Equilibrium and Support Vector Machine – Analyzed strategic interactions and implemented SVM for classification problems.
• Time Series Analysis – Applied forecasting and modeling techniques to real-world sequential data.

• IELTS level 5.5
• Celonis Process Mining Hackathon
• International Mathematical Games Championships final at Bocconi from 2014 to 2017
• MIP Lifeguard Patent
• BLS-D Patent
• Chess tournaments