Summary
César Pérez is a data scientist with a PhD in cosmology and eight years of experience applying advanced statistical and machine learning methods to large, complex datasets. He combines academic rigor from four years of research and postdoctoral work on cosmology experiments (DESI) with practical industry experience building ETL pipelines and analytics solutions. Proficient in Python, PyTorch, scikit-learn, Bash and C, he translates research-grade analyses into reproducible code, visualizations and production-ready workflows. Based in Barcelona, he has collaborated internationally at institutions such as Berkeley Lab and Oxford, and mentors junior researchers while publishing peer-reviewed results. An adaptable problem solver, he brings both autonomous research instincts and client-facing delivery experience from consulting engagements.
8 years of coding experience
5 years of employment as a software developer
Master's degree, High Energy Physics, Astrophysics & Cosmology, Master's degree, High Energy Physics, Astrophysics & Cosmology at Universitat Autònoma de Barcelona