Summary
Alberto Domínguez is a software engineer and MLOps-minded Python enthusiast with eight years of experience blending data science, sociology, and social network analysis to turn complex social phenomena into clear, actionable insights. Based in Granada, he has contributed to data-driven storytelling and analytics at Seedtag, progressing from a data journalist trainee to data analyst roles where he combined visualization and communication with rigorous analysis. His academic background in sociology and information & scientific communication, plus training in cross-cultural survey methodology, gives him an uncommon ability to design and interpret data projects with strong attention to measurement and context. Comfortable with production ML workflows and curious about game development, he bridges research, deployment, and user-focused storytelling to make data both credible and compelling.
8 years of coding experience
4 years of employment as a software developer
8th GESIS Summer School in Survey Methodology (GESIS - Leibniz Institute for the Social Sciences), SOCIAL SCIENCES, Questionnaires for Cross-Cultural Surveys, 8th GESIS Summer School in Survey Methodology (GESIS - Leibniz Institute for the Social Sciences), SOCIAL SCIENCES, Questionnaires for Cross-Cultural Surveys at Mannheim University
Bachelor's degree, Sociology, 8,815, Bachelor's degree, Sociology, 8,815 at Universidad de Granada
English, Spanish