MSc in Data Science (UOC, 2025) and Senior Electrical Engineer with 15+ years of experience delivering high-voltage substations, renewables, and industrial energy projects (HV/MV/LV) across oil & gas, petrochemical, and power systems. Strong focus on data analytics, machine learning, predictive modeling, data visualization, and geospatial analysis, bridging engineering domain expertise with modern data-driven decision-making. Proficient in Python, R, SQL, and BI tools (Power BI / Tableau) to turn complex technical and market/operational data into actionable insights.
Technical Skills: Python, R, SQL, Java, Bash, C# | Pandas, Scikit-learn, PyTorch, TensorFlow | Power BI, Tableau, GIS (QGIS/Leaflet) | AWS, Docker | Git/GitHub
- π MSc in Data Science
- β‘ Background in power generation, HV substations, renewables, and energy infrastructure
- π Strong focus on data analytics, forecasting, visualization, and ML
- π§ Passionate about turning complex data into actionable insights
- β Ask me about energy systems, data science, machine learning, or visualization
- π Peer-reviewed scientific paper (MDPI, 2025)
Non-invasive diagnosis of broken rotor bars in induction motors using deep learning and GASF representations
Proceedings of the 6th International Electronic Conference on Applied Sciences
- β‘ Energy markets & power systems
- π Data analytics & forecasting
- π§ Machine learning for industrial applications
- πΊοΈ Geospatial & environmental data analysis
- π Explainable AI & model interpretability
π« Letβs connect:
- LinkedIn: https://linkedin.com/in/jlgarciatucci
- Email: jlgarciatucci@gmail.com




