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As a Master of Data Science student at EPFL, programming is a major part of my academic curriculum. I offer to support you in learning the Python programming language. An intuitive language that will allow you to quickly learn the basics of programming. During my studies, I had the opportunity to act as a student assistant at EPFL in various courses in the Computer Science section. These experiences allowed me to develop a teaching spirit. I really enjoy passing on my knowledge and helping students develop their reasoning skills. My goal is to make people love programming so that you can use this powerful tool independently and creatively.

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I offer one-to-one Machine Learning and AI tuition for university students, postgraduates, working professionals, and serious self-learners. Lessons are available online or in person around Birmingham. What I cover: Python for data science and ML (NumPy, Pandas, Scikit-learn) Deep learning with TensorFlow and Keras Core ML concepts: regression, classification, clustering, neural networks, CNNs Computer vision and image classification (my published research area) University coursework support, dissertation help, project guidance Help with Kaggle competitions and personal portfolio projects How I teach: I focus on understanding, not memorisation. We work through real datasets and real problems — not toy examples — so you can actually apply what you learn. I'll help you build a model from scratch, debug it when it doesn't work, and explain the maths behind why it does or doesn't perform well. For university students, I can also help with assignments, dissertations, and final-year projects. Whether you're just starting out, stuck on a coursework project, or trying to break into ML professionally, I can meet you wherever you are and help you move forward.

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While adults are still debating whether kids should use AI, they are already using it. The question isn't "should they?" it's "how do we do it intelligently?" In this course, your child will discover: ✓ What AI actually is: not magic, not mystery. How machines think, what they can do, what they can't ✓ How ChatGPT really works: not just "ask a question and get an answer," but why it responds that way, where it fails, when to trust it ✓ What LLMs are (Large Language Models): in language they understand, not tech jargon ✓ Create with AI: custom avatars, interactive stories, real projects using real tools ✓ Think critically about AI: Bias, privacy, creativity. What does AI do better than humans? What can't it do? ✓ Real-world applications: How AI transforms medicine, education, art, gaming, everyday life Why this is different: Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI. Your child will learn to see AI not as black magic or a solution to everything, but as a powerful tool with real limits. And, more importantly: that they can control how they use it. What they take home: Real projects they created (custom avatar, interactive app, analysis of a real AI case study). A genuine understanding of how it works. And the ability to use AI responsibly and creatively. Format: Online | 60–90 min sessions | Flexible, adapted to their age and pace For curious kids asking "How does ChatGPT actually know things?"

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This preparation session is dedicated to students aiming for preparatory classes for scientific Grandes Ecoles (CPGE), with a particular focus on the subjects of Physics and Engineering Sciences. The goal is to strengthen the foundations and deepen the knowledge to succeed. 1. Mechanics: Kinematics: Study of rectilinear and circular movements, position vectors, speed and acceleration. Dynamics: Newton's laws, work and energy, kinetic energy theorem. 2. Electromagnetism / Electrokinetics: Electrostatics: Electric charges and fields, electric potential, capacitance. Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction. Alternating Currents: RLC circuits, resonance, impedance. 3. Thermodynamics: Principles of thermodynamics: Internal energy, heat, work, first and second principles. Ideal and real gases: Equations of state, thermodynamic transformations. 4. Industrial sciences: Automatic Linear, Kinematic, Static. For more information and to register for the preparation session, please contact me. Good preparation and success in your studies! .