With a profound background in Artificial Intelligence and Machine Learning, I bring over two decades of experience from the tech industry to my role as an educator. My journey began with a Bachelor’s degree in Electrical, Electronics, and Communications Engineering, followed by a Master’s in Machine Learning from the University of California, Berkeley. My career includes significant contributions to Microsoft, where I led advancements in cloud migration and developed state-of-the-art NLP systems. I've also co-founded several innovative tech ventures, including Cookr, which harnesses AI to transform the food tech industry. My passion lies in demystifying complex algorithms and data science concepts, making them accessible and practical for students. I specialize in teaching Python, Spark, and advanced machine learning algorithms, focusing on real-world applications that drive meaningful insights and solutions. Throughout my career, I have been committed to bridging the gap between theoretical knowledge and practical implementation, preparing the next generation of data scientists and technologists for the challenges of the digital age. As an educator, I am dedicated to fostering an environment of curiosity and innovation. I enjoy sharing my expertise in data science and AI, drawing from my extensive experience in both academia and industry. My teaching philosophy revolves around practical problem-solving and hands-on learning, ensuring that students not only grasp theoretical concepts but also apply them effectively in real-world scenarios.