Sayantan

I'm Sayantan Das, a Master of Applied Science graduate from Queen's University specializing in Artificial Intelligence (4.0/4.3 GPA). With extensive experience in machine learning, programming, and academic research, I bring a strong foundation in mathematics, computer science, and teaching complex technical concepts. Throughout my career at institutions like the Vector Institute and ETH Zurich, I've developed a knack for breaking down complex problems into understandable components - a skill that translates directly to effective tutoring. My technical expertise spans Python, mathematical modeling, and various computing frameworks, which allows me to teach both theoretical concepts and practical applications. Having authored technical tutorials for Weights and Biases and led technical content teams, I have proven experience in explaining complex topics clearly and effectively. I'm passionate about helping students build strong foundations in mathematics and computer science while developing problem-solving skills that will serve them throughout their careers.