Gnyani

I am currently pursuing an MSc in Data Science at King’s College London and have a strong academic and hands-on background in data science, machine learning, and artificial intelligence. My lessons are designed to be clear, structured, and fully personalized, ensuring that each student learns at a pace and depth that suits their goals and current level. I work with beginners who want to build strong foundations as well as advanced learners aiming to strengthen their technical skills, complete projects, or prepare for research and careers in data-driven fields.

My teaching approach focuses on building intuition first, followed by solid theoretical understanding and practical implementation. I break down complex concepts into simple, easy-to-understand explanations and reinforce them through coding exercises, real-world examples, and guided problem-solving. I strongly believe in learning by doing, so my lessons include hands-on practice with real datasets, model building, evaluation, and interpretation of results.

I cover topics such as Python programming, data analysis, machine learning, deep learning, and modern AI techniques, while emphasizing best practices like clean code, debugging strategies, and model optimization. I also guide students in project development, from idea selection and data preprocessing to model deployment and result presentation. For students interested in research, I provide support with methodology, experimentation, and technical writing.

My lessons are interactive and engaging, encouraging questions, discussion, and active participation. I provide regular feedback, track progress, and adjust lesson plans to ensure consistent improvement. Beyond technical skills, I focus on developing problem-solving ability, analytical thinking, and confidence, enabling students to apply what they learn independently. My goal is to help students not only succeed academically, but also gain practical, long-term skills relevant to real-world applications and future careers.