Javier Gonzalez

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Summary

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Rockstar
Javier Gonzalez is a Data Specialist with 11 years of experience applying advanced analytics, statistics, and machine learning to large-scale scientific datasets, currently driving data analysis for particle astrophysics at the Center for Astrophysics | Harvard & Smithsonian. He has a PhD in Physics and a strong publication record (20+ papers) with frequent international presentations, demonstrating both deep domain expertise and clear scientific communication. Javier has led cross-functional teams of ~20 people distributed globally, combining hands-on C++/Python development with data engineering for datasets ranging from terabytes to hundreds of terabytes. His work spans predictive modeling, data quality assurance, and custom tooling to process high-throughput experimental data, reflecting an ability to take research-grade methods into production-like environments. Open to roles in Boston, Boulder, New York, or Philadelphia, he is keen to apply his physics-rooted quantitative intuition to new complex-data problems beyond astrophysics. A physicist at heart who “likes working with data,” he brings scientific rigor, large-scale data handling experience, and collaborative leadership to applied data science and consulting roles.
code11 years of coding experience
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Github Skills (95)

astronomy10
miniconda10
ftplib10
core-library10
anaconda10
child-process10
baduk10
aspect9
time-format9
spice9
science9
euler9
python9
indexof9
explore9

Programming languages (8)

TypeScriptPowerShellC++JavaScriptPerlHTMLJupyter NotebookPython

Github contributions (5)

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sot/skare3_tools

Jan 2020 - Jul 2026

Tools used for skare3 package management
Contributions:22 releases, 8 reviews, 167 PRs in 6 years 6 months
package-management
sot/aperoll

Jul 2021 - Jan 2026

Contributions:4 releases, 6 reviews, 13 PRs in 4 years 7 months
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