Summary
George Kampolis is an O&M Engineer specializing in data analysis for offshore wind, combining 11 years of engineering experience with advanced data science to drive predictive maintenance and operational efficiency. He blends domain knowledge of turbine physics with a Python- and SQL-first tech stack to build ETL pipelines, ML models, and visualizations that turn SCADA and vibration signals into actionable insights. As a PhD candidate researching remaining useful life prediction for drivetrain components, he bridges academic rigor and industry impact through collaborative projects with ScottishPower Renewables and SSE. George champions reproducibility, documentation and data governance, and has a track record of automating workflows that materially reduce analyst time and increase accuracy. Originally from Athens and now based in Glasgow, he pairs technical focus with a creative eye for photography and a commitment to chartered engineer accreditation.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Wind and Marine Energy Systems and Structures, Doctor of Philosophy - PhD, Wind and Marine Energy Systems and Structures at University of Strathclyde
Master of Science - MSc, Data Science, Merit, Master of Science - MSc, Data Science, Merit at Robert Gordon University
Master of Science - MSc, ENGINEERING, Distinction, Master of Science - MSc, ENGINEERING, Distinction at University of Dundee
Integrated Master of Engineering - MEng, Mineral Resources Engineering, 2:1 (71.2% | 7.12/10), Integrated Master of Engineering - MEng, Mineral Resources Engineering, 2:1 (71.2% | 7.12/10) at Technical University of Crete / Πολυτεχνείο Κρήτης
Greek, English