Power Systems Optimization using Data Science

Leveraging my expertise in solar PV and power systems, I applied data science techniques to optimize energy distribution and reduce losses in a large-scale power grid. By utilizing machine learning models for load forecasting, I identified inefficiencies and optimized resource allocation, leading to a 15% improvement in system reliability and performance. Using tools like Python and MATLAB, I provided data-driven insights that supported strategic decision-making, reducing operational costs and enhancing energy efficiency. This project demonstrates my ability to combine technical knowledge with advanced analytics to solve real-world energy challenges.