Maria Bernardos

Data Scientist

Madrid, Community of Madrid, Spain
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Summary

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Senior
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Top School
Maria Bernardos is a Data Scientist with eight years of experience applying machine learning and software engineering to scientific and industry problems, currently building time series ML and deep learning solutions at Capgemini Engineering. Trained as an astrophysicist (MS, Universidad Autónoma de Madrid) and seasoned through postdoctoral roles and ESA/observatory projects, she brings rigorous experimental thinking to production-ready pipelines in Python, TensorFlow and scikit-learn. Her background in C++ and scientific software for Cherenkov telescopes gives her uncommon fluency in both low-level performance coding and high-level model design. She has delivered explainable AI for healthcare and energy decision-making, and implemented forecasting systems for pharma e-commerce, showing strength across domains. A self-taught, adaptable engineer, she is passionate about R&D that advances sustainability and environmentally respectful technologies. Colleagues benefit from her blend of academic rigor, practical pipeline development, and a track record of translating complex time series science into actionable business models.
code8 years of coding experience
bookMaster of Science - MS, Astrophysics, Master of Science - MS, Astrophysics at Universidad Autónoma de Madrid
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Github Skills (6)

testbench10
slurm7
imaging7
surface5
machine-learning4
python3

Programming languages (4)

ShellCJupyter NotebookPython

Github contributions (5)

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misabelber/LMC

Apr 2018 - Jun 2019

Codes and tools for he analysis of Dark Matter in the Large Magellanic Cloud
Contributions:5 PRs, 42 pushes, 1 branch in 1 year 1 month
pythonzonessurfacematterdark
misabelber/cta-lstchain

Jun 2018 - Nov 2018

LST prototype testbench chain
Contributions:1 PR, 24 pushes, 1 branch in 5 months
blockchainchainprototypelstaptos
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