Alberto González is a Senior Data Scientist based in Madrid with 8 years of experience applying ML and AI to real-world business problems, currently shaping advanced analytics at CaixaBank. He holds a PhD in Artificial Intelligence (UPM) focused on Explainable AI for anomaly detection and combines that research depth with practical delivery experience from Telefónica’s crowd analytics and mobility forecasting products. Alberto teaches Machine Learning, Data Mining and NLP at multiple master’s programs, bridging academic rigor and industry practice while mentoring the next generation of data scientists. His background in Industrial Engineering and multiple MSc degrees underpins a strong systems-thinking approach spanning time series, recommender systems, NLU and production ML stacks (PySpark, PyTorch, AWS). Known for integrating interpretability tools into applied solutions, he excels at turning complex models into actionable, trustworthy insights for stakeholders.
8 years of coding experience
6 years of employment as a software developer
Grado en Filosofía, Filosofía, Grado en Filosofía, Filosofía at Universidad Eclesiástica San Dámaso
Master of Science - MS, Machine Learning and Data Science, Master of Science - MS, Machine Learning and Data Science at Universidad Rey Juan Carlos
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Universidad Nacional de Educación a Distancia - U.N.E.D.
Doctor of Philosophy - PhD, Artificial Intelligence, Cum Laude, Doctor of Philosophy - PhD, Artificial Intelligence, Cum Laude at Universidad Politécnica de Madrid
Contributions:4 releases, 17 commits, 15 pushes in 1 year 9 months
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