Drawing on my enriching experience at my undergraduate University, where I served as a peer tutor, teacher assistant, orientation leader, and mentor, I have developed a unique teaching approach that is both interactive and impactful. During my time at university, I not only supported my peers academically but also guided new students through their initial university experience, which deepened my understanding of diverse learning needs and styles. This has significantly shaped how I structure my lessons in Computer Science, Mathematics, Physics, and Chemistry.

In my classes, you can expect a lively blend of interactive lectures, hands-on exercises, and ample Q&A sessions. We'll use visual aids and real-time demonstrations to break down complex theories, making them accessible and engaging. My goal is to foster an environment where all students feel comfortable exploring concepts and asking questions. With a master’s degree in Data Analytics and a background in Electrical Engineering, I combine rigorous academic knowledge with practical experience, ensuring that learning is not just theoretical but also applicable in real-world scenarios. This approach not only makes the lessons relatable but also prepares students for real-life applications of their knowledge.