Fernando Paler is an operational efficiency expert specializing in O&M for solar assets with eight years of experience applying real-time systems like OSIsoft PI, data mining and machine learning to monitoring and diagnostics. Currently at Enel Green Power after five years in Endesa’s monitoring center, he blends electrical engineering training with data-science credentials to translate sensor data into actionable asset interventions. Known for rapid learning and proactivity, he builds predictive models and automated analyses that reduce downtime and improve performance. Based in the Madrid metro area, he pairs hands-on operations experience with formal training in data science and productivity, enabling pragmatic, measurable improvements across large-scale solar fleets.
8 years of coding experience
Máster en Data Science, Máster en Data Science at KSchool
Grado en Ingeniería Electrónica de Comunicaciones, Grado en Ingeniería Electrónica de Comunicaciones at Universidad de Alcalá
Curso de Postgrado en Productividad y Desarrollo Personal, Curso de Postgrado en Productividad y Desarrollo Personal at Universidad Complutense de Madrid
Data Science Developer Bootcamp, Data Science Developer Bootcamp at IMMUNE Technology Institute
Master Degree Final Project / Trabajo Fin de Máster
Contributions:2 PRs, 127 pushes, 2 branches in 4 months
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Fernando Paler - Experto En Eficiencia Operativa O&M Solar