Skills
Programming & Tools: Python (NeuralForecast, pandas, scikit-learn), MATLAB/Simulink, DIgSILENT PowerFactory, LaTeX
Power Systems: Distribution Network Analysis, Load Flow Studies, Grid Development Planning, Renewable Integration, Energy Management Systems, Contingency Analysis, Reliability Assessment, Power Quality, Power Electronics, Electrical Machines
Machine Learning & Energy: ML/DL Applications in Power and Energy Systems, Optimization, Electricity Demand Analysis, Time-Series Forecasting for Grid and Market Applications, Large-Scale Energy Data Analysis
About
Electrical power engineer and machine learning researcher with over 10 years of experience and 8 peer-reviewed publications in power systems, control, renewable-energy integration, and energy data analysis. My background combines grid operation, load-flow studies, power-system dynamics, and simulation-based analysis with machine learning and time-series forecasting for large-scale electricity datasets, supported by a strong academic record across all three degrees. I am interested in bridging forecasting, optimization, and power-system modelling to support renewable integration, flexible demand, and data-driven decision support for future electricity grids and markets.
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