Power Systems Data Scientist | Electromechanical Engineer
Renewable Energy • BESS • Grid Studies • Machine Learning • MLOps
I work at the intersection of power systems engineering and data science, building analytical and ML-driven tools for:
- Renewable energy integration
- Battery Energy Storage Systems (BESS) planning and operation
- Grid studies and contingency analysis
- Energy dashboards and decision-support systems
My work combines Python, DIgSILENT PowerFactory, Azure, Power BI, and modern MLOps pipelines.
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🔋 Energy Generation Prediction Dashboard
ML + Azure + Power BI for renewable generation forecasting
👉 https://github.com/FCornielle/energy-generation-prediction-dashboard -
🚀 Energy Dashboard CI/CD Project
Complete CI/CD pipeline for an energy analytics platform
👉 https://github.com/FCornielle/Energy-Dashboard-CI-CD-Project -
⚡ MaxRenewCap (DIgSILENT Automation)
Python automation for contingency analysis and maximum renewable hosting capacity
👉 https://github.com/FCornielle/MaxRenewCap -
📊 Instagram Social Media Analysis DR
NLP, sentiment analysis, and engagement analytics
👉 https://github.com/FCornielle/Instagram_Social_Media_Analysis_DR
- Languages: Python, SQL, R
- Data & ML: pandas, numpy, scikit-learn, TensorFlow, PySpark
- Power Systems: DIgSILENT PowerFactory, SDDP, Grid Studies, BESS
- Cloud & MLOps: Azure (ADF, ML, Functions), GitHub Actions, Azure DevOps
- Visualization: Power BI, matplotlib
- GIS: QGIS
- LinkedIn: www.linkedin.com/in/fernando-cornielle
- Email: fernandocornielle@gmail.com
