Núria Martín is a Senior Data Engineer based in Barcelona with eight years of experience blending aerospace engineering rigor with data and software engineering. She has built forecasting engines and supply-chain optimizations using econometrics and machine learning, and more recently applied those skills at Caixabank Advanced Business Analytics and AstraZeneca. A proficient Python and SQL practitioner, she also contributes to Odoo backend modules—improving preventive maintenance workflows and code quality—and maintains an active GitHub portfolio. Núria balances industry work with teaching Python and SQL in postgraduate data programs, which sharpens her ability to translate complex models into practical, production-ready solutions. Her background in aeronautics and a Master in Statistics & Operational Research give her a strong quantitative foundation that informs robust, interpretable analytics for business impact.
8 years of coding experience
5 years of employment as a software developer
UPC Universitat Politècnica de Catalunya
Bachelor's degree, Aeronautics/Aviation/Aerospace Science and Technology, General, Bachelor's degree, Aeronautics/Aviation/Aerospace Science and Technology, General at ESEIAAT-UPC
Odoo modules for businesses that implies maintenance tasks
Role in this project:
Back-end Developer
Contributions:47 commits, 10 PRs, 2 comments in 1 month
Contributions summary:Núria's contributions primarily involve migrating and improving Odoo modules, specifically within the `maintenance` and related modules. They refactored code, implemented bug fixes, and ensured code style adherence, including tasks like applying Black and Isort for code formatting. This included adjusting model definitions, updating manifest files, and incorporating contributions from different authors. Their work focused on improving the preventive maintenance features of the Odoo platform.
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