Summary
Yeis Henao is a Data Scientist and analytical leader based in Medellín with nine years of hands-on experience applying advanced analytics across utilities, including energy, water, gas and telecommunications. At Empresas Públicas de Medellín he leads forecasting, revenue assurance, and credit risk initiatives that turn operational telemetry into group-wide forecasts for income, consumption and portfolio health. He designs and deploys epidemiological models, MLOps pipelines, autonomous agents and experimental tech—RPA, computer vision, NLP, GraphNNs and reinforcement learning—to protect operations and optimize resources. Yeis combines deep statistical training (Magister en Ciencias Estadísticas) with an engineering background to bridge research and production, often embedding models directly into business processes. He has practical experience deploying frameworks such as LangChain, ADK, MOSAIC and Azure AI Foundry, and a track record of detecting billing loss, fraud and churn that materially improves revenue. Pragmatic and research-minded, he specializes in turning complex utility data into actionable decisions that reduce cost and risk.
9 years of coding experience
Magister en Ciencias Estadísticas, Statistics, Magister en Ciencias Estadísticas, Statistics at Universidad Nacional de Colombia
Ingeniero Industrial, Ingeniero Industrial at Universidad de Antioquia
Especialista en Evaluación Y preparación de Proyectos, Ingeniería, Especialista en Evaluación Y preparación de Proyectos, Ingeniería at Universidad de Antioquía