Marc Rovira

Senior Data Scientist

Stockholm, Sweden
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Summary

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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.
code7 years of coding experience
job6 years of employment as a software developer
bookCharles III University of Madrid (Universidad Carlos III de Madrid)
bookUniversitat Politècnica de València
languagesSpanish, English, Catalan, German, Swedish
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Github Skills (73)

anomaly-detection10
python10
testing10
pandas-dataframe10
data-cleaning10
prediction10
forecast10
schema10
causal-discovery10
data-validation10
dataframes10
graphical-models10
validation10
sktime10
ai10

Programming languages (4)

JavaC++Jupyter NotebookPython

Github contributions (5)

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Contributions:209 pushes, 1 branch in 11 months
marrov/parallel-pod

Aug 2019 - Feb 2022

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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