I am a detail-oriented Electrical and Electronics Engineering graduate with a strong interest in data-driven technologies, software development, and intelligent energy systems. During my academic journey, I built a solid foundation in Python programming, data science, and machine learning, along with core electrical engineering concepts. I enjoy solving real-world problems using analytical thinking, programming skills, and innovative approaches.
One of my key projects involved developing a State of Charge (SOC) management system for a Battery Energy Storage System (BESS) using an Adaptive Neuro-Fuzzy Inference System (ANFIS). This project improved energy efficiency, system reliability, and battery performance through intelligent control techniques. It strengthened my understanding of AI-based optimization, data analysis,