Summary
Javier Cordero is a Senior Data Scientist based in Spain with five years of cross-industry experience building pragmatic, causality-focused ML solutions that drive measurable business impact. He combines a strong engineering foundation from Jaguar Land Rover with production-grade analytics at Orange and Quix, specializing in real-time analytics, causal inference, uplift modeling, and privacy-preserving techniques like vertical federated learning. Javier also teaches a Master’s course in Data Science & Big Data Analytics, translating hands-on industry practice into classroom learning. Comfortable across cloud and big data stacks (AWS, GCP, Spark, BigQuery) and advanced models (XGBoost, random forests), he excels at turning complex telecom and insurance datasets into actionable campaigns and product insights. Notably, his background in mechanical engineering and simulation informs a methodical, experiment-driven approach to model design and evaluation.
5 years of coding experience
5 years of employment as a software developer
Master's Degree, Mechanical Engineering Design, First Class, Master's Degree, Mechanical Engineering Design, First Class at The University of Manchester
Bachelor’s Degree, Mechanical Engineering, First Class, Bachelor’s Degree, Mechanical Engineering, First Class at Universidad de Vigo
Spanish, English, Galician, Portuguese