Daniel Sendino Ruiz

I am open to job opportunities as an energy/data science engineer starting on January 2023. I am a Double Degree MSc student in Energy Storage with a BSc in Mining Engineering mainly concerned with sustainable energy and energy security. I have experience in performance control and degradation evaluation of Lithium-Ion batteries. I developed an Artificial Intelligence algorithm to accurately estimate and predict their degradation in collaboration with Envirobat Spain SL. I am currently working on another method to estimate battery degradation under the Politecnico di Torino electrochemistry research guidance. I also developed a tool to monitor and characterize the SBAS user-service performances of EGNOS in Python using real Signal-In-Space data and validating the results with a CFI provided by ESA at GNSS Academy. With the ongoing political and energetic crisis, I am focusing now on improving my Data Science skills and energy markets comprehension to support Europe in achieving its net-zero targets while maintaining a continuous and sustainable supply of energy resources.