Summary
Diego Martín is a data engineer and materials engineer with 8 years of experience, currently blending advanced analytics and automation at INECO and joining AECOM as a Data Engineer. He designs ETL architectures, builds scalable pipelines with Python, Spark and NoSQL, and delivers interactive Power BI dashboards that turn mobility and services data into operational decisions. His work spans applied machine learning and deep learning for urban mobility, including a finalist electrification project that used Random Forests and led to internal recognition for innovation. He leads an RPA initiative that has already saved hundreds of hours by automating repetitive processes and routinely leverages generative AI to streamline workflows. A university lecturer at UVa’s Computer Science department, he brings both academic rigor and hands-on product delivery to cloud environments (GCP, AWS, Azure). Driven to grow into senior Data Scientist/Engineer roles, he combines creativity with measurable impact across sustainability and mobility projects.
8 years of coding experience
Master Universitario en Análisis y Visualización de Datos Masivos // Visual Analytics & Big Data, Data Processing and Data Processing Technology/Technician, 8.55, Master Universitario en Análisis y Visualización de Datos Masivos // Visual Analytics & Big Data, Data Processing and Data Processing Technology/Technician, 8.55 at UNIR - La Universidad en Internet
Grado en Ingeniería, Materials Engineering, Grado en Ingeniería, Materials Engineering at Universidad Politécnica de Madrid
Spanish, English, French