Harshini M.

Hi. I teach maths. My best skill is making making topics which feel very over complicated at first into much more understandable and simple concepts. My past experience is within working with at Harvard for a professor, competing in many mathematics competitions all around the UK and studying higher level institutional maths. Besides maths I love room interior design, Fruitiger aero aesthetic and 3d printing. I have currently just finished my studies. I am now looking to apply and pursue PPE (Politics, Philosophy and Economics) at Oxford University. I have previously studied Maths, Further Maths and Economics. My experience within maths would be my previous work at Harvard University, my many experiences at maths competitions all across London and as well as my personal studies of higher level institutional mathematics.

Hi! I’m a multilingual Chemical Engineering student at the University of Edinburgh. I teach Spanish, English, Maths and Chemistry, adapting each lesson to the student’s level, goals and learning style. I focus on clear explanations, practical examples and interactive exercises to help students build confidence, improve their understanding and make steady progress. I am patient, approachable and happy to support both schoolwork and exam preparation. I am currently studying Chemical Engineering at the University of Edinburgh, where my degree combines advanced Mathematics, Chemistry, Physics, programming and engineering problem-solving. Before university, I completed secondary education (Spanish Baccalaureate) in Spain following a scientific curriculum. I also spent an academic year abroad in New York, which strengthened my English, independence and ability to adapt to an international learning environment. I hold a Cambridge C2 qualification in English and am fully fluent in Spanish, English, and Catalan, allowing me to support students confidently in these languages as well as in STEM subjects.

Passionate and patient educator with a strong academic background and years of tutoring experience. I specialize in helping students truly understand concepts, not just memorize them. My lessons are interactive, personalized, and confidence-building. Let’s make learning enjoyable and results-driven! GCSE: Biology, Chemistry and Physics A-level: Biology and Chemistry. Exam boards: AQA, OCR, Edexcel Preferred student age group: GCSE and A-level Masters: MSc in Orthopaedic Rehabilitation, University of Dundee, United Kingdom (R) Bachelors: BSc(Hons) with First class, Distinction in Neurology, Faculty of Medicine, University of Colombo. GCSE: Biology, Chemistry and Physics A-level: Biology and Chemistry. Exam boards: AQA, OCR, Edexcel, SQA Advanced Higher Preferred student age group: GCSE and A-level

Hi! I'm Michaelangelos, a mathematics graduate from the University of St Andrews (MMath) and incoming PhD student at the University of Glasgow. I've been tutoring maths for several years, including Higher and National 5, and it's something I genuinely love doing. What I care most about is helping students build real confidence and intuition, not just memorise steps. Maths can feel intimidating, and I get a lot of satisfaction from being the person who helps make it click, whether that's turning anxiety into understanding, or helping a curious student go further than they thought possible. I'm equally excited to work with students who find maths difficult and scary as I am to work with those who want to push themselves and become really strong mathematically. Whatever your starting point, I'll meet you there. I am currently an incoming PhD student at the University of Glasgow, where my research focuses on dissecting neural networks, specifically regarding optimisation and generalisation. Prior to this, I completed an Integrated Master of Mathematics (MMath) at the University of St Andrews. During my time at St Andrews, I was placed on the Dean's List consecutively and achieved first-class averages in my final two years of study. I also spent an exchange year at Western University during the 2024-2025 academic year. My academic background is deeply rooted in advanced mathematics and computational science. My master’s dissertation, which earned a 90% grade and was highly commended for the Duncan Prize, focused on a posteriori methods for error control via the reconstruction technique. My key areas of study have included stochastic dynamics, statistical machine learning, financial mathematics, neural networks, and data analytics consulting. Through these experiences, I have developed strong technical proficiencies in programming languages such as Python, MATLAB, SQL, and R, along with various machine learning frameworks.