Summary
Haritz Laboa is Head of Data Science at Datu(a) IA with 8 years of experience building and leading data science teams and delivering applied ML/DL solutions across finance, industry, legal, insurance, smart cities and retail. He combines hands-on expertise in NLP (entity recognition, document classification, entity linking), time-series deep learning and classical ML with strategic leadership of a 10-person data science team and roadmap definition. His academic roots in telecommunications engineering and a top-ranked Data Science master inform a strong foundation in both theory and production-grade architectures, including Big Data design and ETL pipelines. Early research work produced predictive models for railway incidents and led to a presentation at the World Congress on Railway Research, illustrating his ability to translate research into real-world impact. Outside work he channels creativity into music and event organization, and even performs as a guitarist in a band, reflecting a collaborative, multidisciplinary approach to problem solving.
8 years of coding experience
4 years of employment as a software developer
Bachelor's Degree In Telecommunications Engineering, Telematics, 7.3/10, Bachelor's Degree In Telecommunications Engineering, Telematics, 7.3/10 at UPV/EHU
UOC (Universitat Oberta de Catalunya)
English, Basque, Italian, Spanish