Jonathan Bossio

Senior Data Scientist

Barcelona, Catalonia, Spain
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Summary

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Senior
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Top School
Jonathan Bossio is a Senior Data Scientist and physicist with 10 years of experience building ML and software solutions for high-stakes environments, from CERN experiments to commercial teams. He has led international teams, delivered deployed deep learning models that improved detector particle position and identification by up to 60% and 50% respectively, and translated research-grade analysis into production using TensorFlow, PyTorch, Docker and Kubernetes. Equally at home in industry, he has driven end-to-end ML solutions to improve sales at HP and now brings that product-focused mindset to Mango. Jonathan pairs rigorous statistical training (PhD in Physics) with hands-on software engineering in Python and C++, and a practical focus on reproducible pipelines and CI. He publishes practical tutorials and tools—covering A/B testing, dashboards and Streamlit apps—and actively sharpens his skills through challenges and curated projects. Based in Barcelona, he blends academic depth with a commercial instinct for turning complex data into actionable business impact.
code10 years of coding experience
job5 years of employment as a software developer
bookDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Buenos Aires
languagesEnglish, Spanish, Italian
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Github Skills (28)

proton10
python10
atlas10
high-energy-physics10
physics10
python-course9
seaborn7
jupyter-notebook6
plotly5
keras5
object-oriented-programming5
matplotlib5
susy5
jupyter4
jet4

Programming languages (3)

C++Jupyter NotebookPython

Github contributions (5)

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Predict extrapolation weights through regression using Keras
Contributions:21 PRs, 42 pushes, 2 branches in 1 year 4 months
regressionpythonknn-classificationextrapolationdeep-learning
Convert TFiles into H5 files for the ATLAS SUSY RPV multijet search
Contributions:35 PRs, 47 pushes, 11 branches in 1 year 5 months
susyatlas
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Jonathan Bossio - Senior Data Scientist