Data Analysis & Machine Learning taught with engagement

I like the field of coding in the subject of computer science. I have liked coding since I was in high school and it intrigued me like no other subject did. I possess a bachelors degree in computer science from the University of Washington and I have 6 years of coaching experience. Being from a learning environment that had diverse backgrounds, I understand and value diverse backgrounds and perspectives in the classroom. I became a tutor to share my love for coding with interested learners.

My methodology for machine learning focuses on upskilling technical skills by diving deep into core programming concepts like data types, loops, functions, and object-oriented programming. I emphasize thorough revision of these main concepts through interactive coding exercises, quizzes, and hands-on projects. To enhance learning, I leverage coding tools and IDEs to showcase how codes are implemented in real time, providing a visual understanding of code execution and debugging processes. This approach fosters a practical and comprehensive understanding of machine learning, enabling students to build proficiency and confidence in writing efficient and effective code.