Santiago Ruiz is a senior data scientist and computer vision specialist with 11 years of experience and a doctorate in data science, currently leading deep learning initiatives at Royal Schiphol Group to detect and monitor turnaround events from video. He designs end-to-end production systems—model training, active learning for labeling prioritization, and monitoring on Azure—bringing research-grade methods into operational pipelines. His background spans industry research at Philips (predictive sustainability scoring with SHAP and stochastic optimization) and academic work on probabilistic fuzzy models, showing a rare blend of explainability, optimization, and computer vision. Based in Utrecht, he pairs strong engineering skills in Python and TensorFlow with a pragmatic focus on continuous improvement and error analysis, and has a track record of turning analytical insights into measurable operational gains.
11 years of coding experience
3 years of employment as a software developer
Doctorate in engineering, data science, Doctorate in engineering, data science at Eindhoven University of Technology
Production Engineering, Operations Management and Logistic Track., 4/5, Production Engineering, Operations Management and Logistic Track., 4/5 at Universidad Escuela de Administración y Finanzas y Tecnologías
Master of Science (M.Sc.), Operations Management & Logistics, Master of Science (M.Sc.), Operations Management & Logistics at Technische Universiteit Eindhoven
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Santiago Ruiz - Sr. Data Scientist (computer Vision)