Antonios Roussos

Data Analysis

• Processed large-scale energy datasets from wind turbines, solar parks, and hybrid systems to evaluate performance trends and operational efficiency.
• Calculated diesel fuel savings in an off-grid hybrid system by integrating SQL queries, Grafana dashboards, and engineering knowledge.
• Compared and assessed multiple linear regression models and the nacelle transfer function to predict the free stream wind speed depending on the nacelle wind speed (Scikit-Learn).
• Organized O&M activity (maintenance, faults, HEDNO curtailments, dashboards) into a unique Excel file for cross-team use.
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Automation and Reporting

• Developed a pipeline to access (from API, CSV, parquet), clean and process data and depict a company wind turbine performance and operational time analysis using Dash and ReportLab.
• Created multiple data processing tools in Python to streamline the analysis of common datasets (Pandas).
• Built automated reporting systems with Python (ReportLab) to streamline inspection workflows for solar parks.

Grafana Visualization

• Deployed a Grafana dashboard to monitor and analyze the company's ERD devices condition
• Improved existing Grafana dashboards depicting company's assets