Summary
Alfonso Romero is an Innovation Manager and senior data scientist based in Madrid with 13 years of hands-on experience applying ML and big-data technologies across finance and research. He has led model development and product-focused experimentation at Experian and BBVA, building production Python pipelines on Spark/Hadoop for scoring, segmentation and non-traditional credit signals. Trained as a computer scientist with a PhD and a background in graph-based bioinformatics research, he combines rigorous academic methods with pragmatic, product-driven deployment. Known for translating complex data science into commercial value, he now steers innovation initiatives at Experian’s DataLab, bridging research, engineering and partner-facing solutions. An interesting thread through his career is the crossover between advanced research (protein function prediction) and applied financial ML, giving him a knack for feature creativity and principled model design.
13 years of coding experience
14 years of employment as a software developer
PhD Computer Science, PhD Computer Science at Universidad de Granada
Grado en Matemáticas (Bachelor degree in Maths) Mathematics, Grado en Matemáticas (Bachelor degree in Maths) Mathematics at Universidad Nacional de Educación a Distancia - U.N.E.D.
Visiting PhD student, Visiting PhD student at Pierre and Marie Curie University
English, Spanish