Summary
Andrés Ethorimn is a data analyst and physicist with 8 years of experience turning complex datasets into actionable insights for government and enterprise clients. Based in Sydney, he combines a strong academic background in physics and AI with practical skills in Azure Databricks, Azure ML, multi-cloud architectures, and SQL/NoSQL to deliver dashboards, KPIs, and deployed ML solutions. He has designed scalable data platforms and LLM-based chatbots across Alibaba Cloud, AWS, GCP and Azure, and routinely integrates models via REST APIs for production use. Comfortable working in Kanban teams, Andrés bridges research-oriented thinking—rooted in complex networks and statistical mechanics—with pragmatic engineering to solve real-world problems. A less obvious strength is his blend of policy-facing experience at a national audit office and hands-on cloud engineering, enabling clear communication of technical results to decision-makers.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Applied Science - BASc, Physics, Bachelor of Applied Science - BASc, Physics at Universidad Nacional de Colombia
Master's degree, Artificial Intelligence (AI), Master's degree, Artificial Intelligence (AI) at Pontificia Universidad Javeriana
Postgraduate Degree, Applied Statistics, Postgraduate Degree, Applied Statistics at Fundación Universitaria Los Libertadores
English