Jonathan Bossio
Senior Data Scientist
Barcelona, Catalonia, Spain
Summary
👤
Senior🎓
Top SchoolJonathan 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.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Buenos Aires
English, Spanish, Italian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (25)
proton10
python10
atlas10
high-energy-physics10
python-course10
physics10
jupyter-notebook8
object-oriented-programming8
seaborn8
plotly8
matplotlib7
data-visualization6
data-analysis6
pandas6
keras5
Programming languages (3)
Github contributions (5)
jbossios/python-tutorial
Jun 2022 - Oct 2022
Learn Python for data analysis from zero with this tutorial based on Jupyter notebooks.
Contributions:6 commits, 24 PRs, 91 pushes in 3 months
data-analysisjupyter-notebookpythonpython-coursematplotlib
jbossios/ATLAS_FCS_RegressionWithKeras
Jun 2021 - Oct 2022
Predict extrapolation weights through regression using Keras
Contributions:21 PRs, 42 pushes, 2 branches in 1 year 4 months
regressionpythonknn-classificationextrapolationdeep-learning
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