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Currently studying in the first year of engineering at the higher school of computer science and applied mathematics ENSIMAG. After a math baccalaureate mention excellence, I followed a preparatory class at the higher school of computer science in Algiers, Algeria, to do after a year of bachelor's degree in computer science at the sorbonne, I ranked among the majors of my promotion which allowed me to integrate the ENSIMAG. Today I am ready to give lessons at all levels (college, high school, prep) in mathematics or computer science. I intervene for all types of needs and objectives, all as vast and different as they are! From those who have more or less profound difficulties in the subject, to those who aim for improvement, excellence, through those who have more general concerns in school results and / or their schooling.

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How Our Courses Work: Beyond the Surface What my working method brings you: --> a deep understanding that lasts long after the exam. With me, we'll transform passive learning into engineering mastery. 1. Revelation of the Implicit and Active Construction Decoding the Invisible: I don't just give you the answer; I help you decipher what's hidden and implicit behind the formulas and lines of code. Together, we'll dissect the concepts to understand their true origins and usefulness. Build and Analyze: Each session is a workshop. We will build solutions and analyze problems in pairs, allowing you to develop independent reasoning, essential for higher education. 2. The Art of Lasting Memorization Analogies and Anchors: I use concrete analogies and vivid examples to explain the subtle differences between two related concepts. The goal? To create strong mental anchors so you never forget the fundamental concepts. From Confidence to Excellence: I'll share with you the work methods and organizational skills that allowed me to excel in my academic career and engineering career. You'll leave not only with knowledge, but also with a strategy for success. My commitment: To make you see Mathematics and Computer Science no longer as subjects to be learned, but as a single logic to be mastered.

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19Students

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work. Topics include: Python fundamentals through a finance lens (data structures, functions, control flow). Working with financial data and datasets. Performance benchmarking and writing efficient code. Applying concepts from Hilpisch's Python for Finance.

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8Students

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities. The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking. The topics in our lesson include: • Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions • Boolean Algebra: Substitution laws • Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition. • Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures; • Deduction: Valid arguments and proofs; Proofs in predicate logic If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

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1Students

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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2Students

This comprehensive course is designed to take absolute beginners with no prior coding experience to confident Python programmers. Through hands-on projects, real-world examples, and interactive exercises, students will master Python fundamentals and apply them to build applications, automate tasks, analyze data, and even explore game development. What You’ll Learn: 🐍 Python Basics: Syntax, variables, data types, and operators Input/output, loops (for, while), and conditionals (if-else) 📚 Core Programming Concepts: Functions, modules, and error handling Lists, tuples, dictionaries, and sets 🎮 Real-World Applications: File handling (read/write files) Web scraping (intro to BeautifulSoup/Requests) Basic game development (with Pygame) 🔢 Next-Level Skills (Towards "Hero" Level): Object-Oriented Programming (OOP) – Classes & Objects Working with APIs (fetching data from the web Intro to data analysis (Pandas & Matplotlib basics) Mini-capstone project to showcase skills

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With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world. Expertise & Teaching Areas: ✅ Programming & Software Development: Python, Java, C++ ✅ Cybersecurity: Ethical hacking, data protection, network security ✅ Digital Literacy: ICT applications, online safety, cloud computing ✅ Data Science & AI: Data analysis, machine learning fundamentals ✅ Web Development: HTML, CSS, JavaScript Curriculum & Pedagogical Experience: 🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking. 🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development. 🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications. Professional Impact: 📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams. 📌 Developed interactive lesson plans integrating real-world applications of technology. 📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning. 📌 Guided students in project-based learning, including app development and website design. With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.