Summary
Jaime Morillo is a Madrid-based Data Scientist with a decade of industry experience and over five years focused on machine learning, NLP, and computer vision. He holds an international double MSc in Data Science & AI and dual undergraduate degrees in Software Engineering and Mathematics, blending strong theoretical foundations with production delivery. At BBVA he builds deep learning and clustering systems for AML anomaly detection, and previously deployed churn prediction and NER pipelines that improved retention and operational workflows at insurance and research organizations. His background includes medical imaging research on 3D spinal cord MRI segmentation and hands-on cloud migrations, demonstrating comfort moving models from research to production. Known for combining rigorous academic training with practical engineering, he often surfaces insights across domains—from geospatial claims optimization to survival-analysis-driven recommendation enhancements.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Data Science, Artificial Intelligence & Data Mining, Master of Science - MS, Data Science, Artificial Intelligence & Data Mining at EIT Digital Master School
Master of Science - MS, Artificial Intelligence & Data Mining, Master of Science - MS, Artificial Intelligence & Data Mining at Université de Rennes 1
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Universidad Rey Juan Carlos
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Universidad Politécnica de Madrid
Summer School, e-Health: Personalised Prevention, Summer School, e-Health: Personalised Prevention at TalTech – Tallinn University of Technology
English, Spanish, French