David Bescós Capdevila

I build end-to-end data systems: from architecture and pipeline to model and executive reporting. Real-world experience in high-demand, high-volume environments.

Data scientist and analytics engineer with over 5 years of production experience, working in environments where data is critical for decision-making.

I have designed and maintained pipelines that process hundreds of thousands of records, automated data extraction systems from multiple sources, machine learning models in production, and reporting platforms for management.

My main stack is Python — Pandas, scikit-learn, PyTorch, Playwright, Selenium, joblib — with experience in NLP, computer vision, and advanced process automation. I work comfortably in both the engineering layer (architecture, ETL, performance, reliability) and the data science layer (modeling, validation, interpretation).

I am proficient in both greenfield projects and improving existing systems, and I have experience delivering understandable results for non-technical stakeholders.

I work in the entertainment and high-performance sports sectors, which has demanded technical rigor, rapid iteration, and the ability to translate complex data into concrete decisions.