Department: Ingeniería Informática

Research group: Graphical Methods, Optimization, and Learning

Personal web: https://daniprec.github.io/

Áreas PAIDI: Tecnologías de la Información y la Comunicación

Doctor by the Universidad de Cádiz with the thesis Applications of machine learning and data science to the blue economy sustainable fishing and weather routing 2023. Supervised by Dr. David Gómez-Ullate Oteiza, Dr. Joaquín Pizarro Junquera.

I am Daniel Precioso, a highly experienced and passionate Ph.D. data scientist. My current research revolves around utilizing data science to achieve sustainable development goals and promote ecological transitions. With a degree in Physics, I bring a unique perspective to my work that enables me to develop innovative solutions to complex problems. Throughout my over 4 years of career on industry, I have gained extensive experience in analyzing and interpreting data, implementing machine learning algorithms, and creating models that help organizations optimize their operations and make informed decisions. As a data scientist, I am passionate about using my skills and expertise to make a positive impact on society. I believe that data science has the potential to transform the world for the better, and I am dedicated to exploring new ways to leverage this technology for the greater good.