Summary
Ryan Carson is a Senior Energy Data Analyst with eight years’ experience applying Python, R and SQL to improve forecasting, modelling and visualization of complex energy systems. He currently enhances UK demand and generation forecasts at the National Energy System Operator, translating disparate data streams into dashboards and actionable insights for government and regulators. With a STEM foundation in Physics and Mathematics and six years of senior-level teaching, he combines deep quantitative rigour with clear communication and training skills. Prior roles at Taylor & Francis and National Grid sharpened his ability to build self-service BI tools and automated anomaly detection across large datasets. Outside work he pursues machine learning projects and strategic games like Go, reflecting a persistent curiosity for learning and structured problem solving. This mix of domain expertise, pedagogical experience and practical tooling makes him adept at turning complex energy data into trusted, policy-ready evidence.
8 years of coding experience
4 years of employment as a software developer
Graduate Diploma of Education Senior Physics and Mathematics, Graduate Diploma of Education Senior Physics and Mathematics at The University of Queensland