Hi, I’m Ojas Srivastava, a Mathematics and Computer Science student at McGill University, where I’m diving into advanced topics like Algorithms and Data Structures (in Java), Real Analysis proofs, Compiler Design, and Operating Systems on C/Linux—challenges that sharpen my problem-solving daily. I achieved A*s in Maths, Further Maths, and Physics at A-Level (Cambridge), alongside stellar IGCSE results across sciences and maths, which ignited my passion for breaking down complex concepts into clear, relatable steps. With four years of part-time A-Level tutoring in these subjects, I’ve helped dozens of students boost grades from C’s to A’s by tailoring sessions to their style—whether visual diagrams for vectors or step-by-step proofs for calculus—plus I volunteered regularly at a local orphanage, teaching basic maths and physics to kids, building patience and adaptability for diverse learners. This mirrors my tech wins: McHacks victory with SymLang (AI gesture-coding tool, 90% accuracy via TensorFlow.js), UoFT Hacks win with CodeView (OCR code scanner with Big O analysis), and co-founding Nuclear AI notetaking app (100 users, 40% monthly growth). Internships at Nakisa (40% query speed-ups for Fortune 500) and CodeDay (leading global hackathons) honed my collaborative edge.

I’m Emily, currently studying at economics and management. I would love to support anyone who needs help in their academic journey, helping them succeed by imparting my knowledge at techniques. I achieved all grade 9s at GCSE, so know how to help students in a broad range of subjects. I also achieved all A*s in my A levels, and am still passionate about my A-level subjects.I try to be flexible in my approach to tutoring. For students who need more guidance, I offer structured lessons with detailed explanations. For more independent learners, I foster problem-solving and self-learning by guiding them through the process rather than simply giving answers. My goal is to adapt to each student’s pace and ensure they are confident in the material we cover. Also, I believe in continuous feedback and open communication, so I regularly check in with students to gauge their understanding and adjust my approach based on their progress.

I’m a full-time private tutor with an extensive background in maths and data tech. I’ve been tutoring/taught for over twelve years, and worked in the data tech industry for six years. My academic background is from Sussex University. I completed my MMath degree with a 1st class honours in 2014 writing my dissertation on Bochner-Riesz summability and Strichartz estimates. I then completed my PhD in maths in 2019 under the Hirschfeld scholarship passing with minor corrections (2019); my thesis was titled “Topics in Geometric and Harmonic Analysis on Symmetric Spaces and Lie Groups”. I started tutoring as an A-level assistant at school helping GCSE students with maths work in the classroom. I picked it up again as a university undergraduate as a convenient way to fund my studies. I quickly realised that I had a knack for tutoring being able to get the best out of my students and consequently help them achieve their goals. Tutoring has since become my passion. From that point, I’ve had a range of tutoring positions including acting as a classroom assistant in a local school, one-on-one tutoring online and in person, leading university workshops, marking homework, being a university examiner, delivering lectures at universities, and leading technical training in industry. My PhD further enhanced my tutoring. I had regular contact with my research supervisor who had a remarkable ability to explain complex maths concepts in a simplified way unfolding the concepts as if he was telling a story. I integrated this into my tutoring technique. I constantly strive to develop this skill further and pass it onto my students to engender their enthusiasm. I entered the workforce following the completion of my PhD as a data specialist working in tech and applying maths to solve machine learning problems. An example was acting as an intermediary translating academic mathematical models into Python and PySpark code to improve the computation of aggregate functions. I continued teaching responsibilities being responsible for training work colleagues in data engineering skills and advanced machine learning. I’m now a full time tutor after spending six years in data tech. I have expanded my tutoring portfolio into further areas including: computer science, data engineering/science best practices, dissertation advice, maths entrance exams, mechanics, university application assistance, Python/SQL pair programming, statistics, and test preparation.