Marco Schipani

I hold an MSc in Applied Mathematics with a strong background in numerical analysis and a growing expertise in machine learning and data-driven modeling. I am particularly interested in data science, scientific computing, and AI, with a focus on data-driven problem solving, visualization, fine-tuning techniques, optimization, high-performance computing, and forecasting. I aim to further develop my skills in algorithm design and advanced modeling. Key areas of expertise: Numerical modeling and data mining; Machine learning, deep learning, and statistical modeling; Data preprocessing, feature engineering, and model evaluation; Forecasting and simulation for real-world decision-making; Programming in Python, Java, MATLAB, and R; Proficient in MySQL for relational database management; I have earned the Machine Learning Specialization by Andrew Ng (Coursera), reflecting my deep and growing interest in tackling problems using machine learning and deep learning techniques. I regularly apply Python and R for data analysis and predictive modeling. Experience / Projects: Participated in financial forecasting projects, implementing machine learning and reinforcement learning strategies to explore predictive scenarios and support decision-making. Currently studying Object-Oriented Programming to enhance simulation capabilities and build scalable models using TensorFlow and PyTorch

Academic research onnumerical analysis and machine learning.
University projects on forecasting
Discretization of PDEs

Master degree in applied mathematics: