About me

I'm a technically-minded professional with a background in geoscience and engineering, and a strong interest in data, technology, and science. I hold a Master’s degree in Geological Engineering, and over the years I’ve gained hands-on experience across diverse roles in the energy and maritime sectors, developing a broad and applied technical perspective.

Currently, I’m expanding my skill set through a part-time Master’s in Data Science, focusing on machine learning, deep learning, and AI-driven methods to analyze and model complex problems. This path is allowing me to combine my technical background with data-driven thinking to support research, innovation, and informed decision-making.

I'm especially interested in applying machine learning and predictive modeling to real-world challenges — from geoscience, climate change and sustainability, to space science and health-related fields such as genomics and cancer research. I enjoy working across disciplines and using analytical tools to uncover patterns, generate insights and contribute to impactful solutions.

On a personal level, I have a curious and committed mindset, and I value learning, collaboration and meaningful work that serves a greater purpose. My academic journey, international experience and openness to new perspectives have shaped the way I approach challenges and continuous growth.