Summary
Daniel Quiroz is a Data Engineer with 11 years of hands-on experience blending systems engineering, web development and applied machine learning to deliver data-driven solutions. Graduated from Universidad de Antioquia, he leverages advanced Python, SQL and visualization tools alongside ML libraries like TensorFlow, cuML and Scikit-learn to build models and pipelines—most notably an unsupervised clustering project on MIMIC-IV that surfaced clinical patterns to support hospital decision-making. Equally comfortable across the stack, he applies React/Next.js, Node.js and TypeScript for product-facing interfaces and brings mobile Kotlin and DevOps practices to end-to-end delivery. Autodidact and proactive collaborator, Daniel focuses on digital transformation and social-impact projects in health and sustainability, pairing technical depth with agile project management and clear communication.
11 years of coding experience
Ingeniería de sistemas, Systems Engineering, 5, Ingeniería de sistemas, Systems Engineering, 5 at Universidad de Antioquia