About me

I’m Giuseppe Priolo (born in 2001), a Data Science graduate with a background in Electronics Engineering and a current Master’s student in Finance at Collegio Carlo Alberto. My academic path bridges engineering, data, and finance, with the goal of becoming a Quantitative Developer, a role that combines analytical precision, coding excellence, and financial insight.

My background in electronics provided a rigorous understanding of systems, optimization, and numerical problem-solving, skills that naturally translate to high-performance environments such as algorithmic trading and high-frequency finance, where execution speed, computational efficiency, and mathematical depth are critical.

Through my Master’s in Data Science, I developed a solid command of machine learning, deep learning, robust statistics, and optimization, along with advanced data handling, preprocessing, and post-processing workflows. These skills have allowed me to design and implement end-to-end analytical systems and to translate theoretical models into practical, high-performance code.

My current Master in Finance represents the final step in grounding these technical foundations within financial theory, stochastic modeling, and quantitative risk management, connecting computation with the economic and mathematical principles that drive modern financial markets.

In my free time, I enjoy implementing models from the courses I study, turning abstract concepts into working prototypes. I find this process both intellectually stimulating and deeply rewarding, as it reinforces my understanding through practice.

Outside of academics, I’m passionate about climbing, hiking, and trail running. These activities challenge me to stay disciplined, focused, and resilient, the same mindset I bring to quantitative research and software development.