Summary
Pablo Graña is a Senior Data Scientist based in Barcelona with four years of hands-on experience building scalable Python ETL pipelines and ML systems for pharmaceutical and industrial clients. At BASE Life Science he leads large-scale, GxP-compliant data migrations into Veeva Vault, combining deep knowledge of Veeva APIs and clinical/quality data models with pragmatic engineering. He has improved device classification accuracy in production ML modules, deployed services with Docker and FastAPI, and designed data stores for efficient model serving. Comfortable communicating technical details in both English and Spanish, Pablo has led small teams using agile practices and emphasizes a positive, inclusive workplace culture. His toolkit spans Python (scikit-learn, TensorFlow, pandas), SQL, and Tableau, with growing experience in AWS and Databricks—bringing an uncommon blend of domain expertise in pharma data models and practical productionization skills.
4 years of coding experience
3 years of employment as a software developer
Bachelor's degree in Mathematical Engineering in Data Science, Data Science, 8.91, Bachelor's degree in Mathematical Engineering in Data Science, Data Science, 8.91 at Universitat Pompeu Fabra - Barcelona
Spanish, Catalan, English, Galician