Marc Rovira is a Senior Data Scientist at Electrolux with a Ph.D. in Engineering Mechanics and six years of experience applying machine learning to industrial problems. His background bridges aerospace engineering and computational fluid dynamics with applied data science, giving him a strong foundation in physics-informed modelling and experimental workflows. At KTH he developed ML coursework and mentored students, reflecting a talent for translating research into teachable, production-ready solutions. Since joining Electrolux he has progressed from Data Scientist to Senior Data Scientist, focusing on practical ML deployments within a global manufacturing context. He contributes to the sktime community, signaling an interest in time series tooling beyond day-to-day product work. Colleagues describe him as a researcher-turned-practitioner who blends rigorous analytical thinking with hands-on engineering to deliver measurable business impact.
7 years of coding experience
6 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
MPI-based parallel proper orthogonal decomposition (POD) in C++
Contributions:6 PRs, 44 pushes, 12 branches in 2 years 5 months
cppmpi
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