Daniel Martínez
Senior Data Scientist
Greater Madrid Metropolitan Area Spain
Summary
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Senior🎓
Top SchoolDaniel Martínez is a Senior Data Scientist with six years' experience applying statistical rigor and MLOps practices to deliver production-grade ML solutions for leading financial institutions. He combines a physics background and advanced statistics training with hands-on expertise in full-stack implementation, PySpark ETL, model monitoring, and a breadth of ML techniques from CatBoost/XGBoost to autoencoders and UMAP/HDBSCAN for anomaly detection and segmentation. At Management Solutions he has taken models from feature engineering and backtesting through deployment and monitoring—optimizing recoveries, fraud detection, and credit-risk metrics (PD/LGD) for G-SIB clients. Comfortable bridging technical architecture and business impact, he emphasizes auditable, conservative modeling practices to account for sampling and methodological uncertainty. Based in the Greater Madrid area, he brings a rare mix of production MLOps discipline and deep quantitative foundations rooted in physics.
6 years of coding experience
1 year of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)Master of Business Consulting, Banking and Financial Services, Master of Business Consulting, Banking and Financial Services at Universidad Pontificia Comillas ICAI-ICADEGrado, PHYSICAL SCIENCES, Grado, PHYSICAL SCIENCES at Universidad Complutense de Madrid
English, SpanishGithub contributions (5)
DanielLapido/Covid19_Dashapp
Mar 2020 - Oct 2020
Contributions:5 commits, 22 pushes, 1 branch in 6 months
DanielLapido/Kriging_Wind_Speed
Oct 2020 - Oct 2020
Contributions:17 commits, 16 pushes, 1 branch in 1 day
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