Summary
Ricardo Recarey is a mathematician and statistician with eight years of experience applying machine learning and data quality practices in enterprise environments, currently a Senior Consultant at Minsait working on Inditex data quality. He began in deep learning research—implementing neural nets on CESGA’s supercomputer—and held a scholarship researching optimization in deep learning before transitioning to production-focused roles using Python, R, Databricks and enterprise databases. Ricardo combines theoretical rigor with hands-on data engineering and analytics, ensuring trustworthy pipelines across Oracle, DB2, AS400 and PowerBI ecosystems. Comfortable moving between research and operations, he also maintains an R side project and brings cross-cultural adaptability from long-term international experiences, including a year exchange in Bulgaria and a Work & Travel stint in the US.
8 years of coding experience
2 years of employment as a software developer
MSc in Statistics and Operational Research, Statistics, 9.02/10, MSc in Statistics and Operational Research, Statistics, 9.02/10 at University of Santiago de Compostela
Piano, Piano at Professional School of Music of Carballo
Spanish, English, Galician, Portuguese