Sergio Vallés is a data scientist with 8 years of experience blending software engineering and machine learning to build production-ready analytics and ETL solutions. He has applied ML for customer segmentation, designed data warehouses and BI dashboards on GCP, and implemented real-time data pipelines and low-level network protocols for satellite systems using Python and C++. Comfortable across the stack, Sergio pairs big-data tools (BigQuery, ELK) and CI/CD practices with hands-on modeling and visualization to turn complex datasets into actionable insights. He keeps skills sharp through machine learning competitions and self-directed learning, which complements his formal training in software engineering and a Udacity Data Scientist Nanodegree. Based in Alcorcón (Madrid), he brings a pragmatic, problem-solving mindset and a track record of automating workflows that reduce manual effort and accelerate decision-making.
8 years of coding experience
3 years of employment as a software developer
Bachillerato Tecnológico, Bachillerato Tecnológico at Colegio Villalkor
Data Scientist Nanodegree, Data Scientist Nanodegree at Udacity
Grado en Ingeniería, Ingeniería del software, Grado en Ingeniería, Ingeniería del software at King Juan Carlos University
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