Samarth D.

I tutor with purpose, passion, and results. I don’t just explain concepts—I ignite confidence, clarity, and motivation. When students win, it’s because I’m fully invested in their growth, every step of the way. Teaching isn’t just what I do—it’s what drives me. I break down complex ideas and build real confidence. I completed my GCSEs in the United Kingdom, where I built a strong academic foundation and developed essential study skills. I then progressed to A-levels, allowing me to deepen my understanding of key subjects and prepare for the demands of higher education. I am currently studying at university, where I am further advancing my knowledge and skill

Lower Level: Maths and Computer Science GCSE: Mathematics, Further Maths, Computer Science A-Level: Mathematics n Computer Science Exam Board Experience: AQA, OCR, Edexcel & 11+ Languages: Fluent speaker of English, Urdu & Hindi. Preferred student age group: Primary, GCSE, A-level I absolutely love teaching and in an effort to facilitate learning among younger children I have joined GoStudent. In pursuit of my ambition to become a Software Engineer, I strongly believe tutoring gives me the opportunity to communicate and express scientific ideas. I am incredibly passionate about helping students and giving them the knowledge that I have gained across the years especially when it comes to teaching Mathematics and Computer science as I have studied these at A-levels, alongside Further Maths and Physics.

Hi, I’m Laureen Caitlin, a passionate Math tutor who loves helping students aged 11 - 18 build confidence and enjoy problem-solving. I love tutoring because guiding learners to understand complex ideas excites me. Outside teaching, I enjoy singing and exploring new hobbies. I hold a Master of Arts in Education major in Mathematics at Far Eastern University and a PhD in Educational Leadership at Unibersidad de Dagupan. With years of teaching and tutoring experience, I specialize in guiding high school learners to master Math concepts with clarity, patience, and dedication.

Hello! I'm a passionate and dedicated tutor currently pursuing my MSc in Financial Mathematics at the University of Birmingham. Previously, I was working full-time as a Quantitative Analyst at a Market Maker / Hedge Fund and spent time working in Venture Capital also. My journey into the world of advanced mathematics has been driven by a relentless desire to understand complex systems from the ground up, a mindset I'm excited to share with my students. My academic foundation is a BEng in Electrical & Electronic Engineering from the University of Southampton, but my learning truly accelerated during my 13 months in my previous role at a fast-paced market maker. This experience was a crucible, teaching me not just the theory but how to apply mathematical and computational skills under intense, real-world pressure. It's this unique blend of academic rigour and practical, hard-won experience that shapes my teaching. I know what it feels like to grapple with challenging material, and I believe that anyone can achieve mastery with the right guidance and a resilient mindset. My goal is to be more than just a tutor; I aim to be a coach and a mentor, helping you build not only your knowledge but also the confidence and problem-solving skills to succeed in your exams and beyond. Education: • MSc Financial Engineering, University of Birmingham, Incoming, Sep 2025 - Aug 2026 • BEng Electrical & Electronic Engineering, University of Southampton, 2:1, Oct 2021 - Aug 2024 Experience: Trireme Market Maker, Incubation Analyst, Jul 2024 - Jun 2025: • Co-led an incubation cohort of 10+ pre-trading Web3 start-ups, varying from: Infrastructure (L1s and L2s), DeFi (Yield Protocols, Liquidity Markets, DePiN and Artificial Intelligence. • Conducted daily market macro and exchange analysis, building and deploying models to help determine which CEXs are the most desirable for specific clients along with determining optimal listing times. Trireme Market Maker, Quantitative Analyst Internship, Jun-Jun 2024: • Gathered data from 5+ APIs, such as MEXC, Gate.IO and Kucoin for future listing volume forecasting on the previously mentioned CEXs and employed Python multiprocessing libraries and utilised vectorisation with NumPy and Pandas to efficiently clean and standardise data. • Built and deployed high-accuracy volume prediction models (Random Forest and XGBoost) for the first 5, 15 and 30 minutes of trading on newly listed client tokens, providing valuable insights for traders. • Built and deployed 2, 3 and 4 state Hidden Markov Models to forecast the future state/market regime of Bitcoin to understand the state distributions of each given state with the goal of determining the correlations between states. J.P Morgan Chase & Co, Quantitative Researcher Internship, Jul 2023-Aug 2023: • Supported with research in interest rate derivatives trading across EMEA and APAC markets, focusing on options pricing models and volatility surface construction for complex derivative instruments including caps, floors, and swaptions. • Collaborated on non-linear rates product development and risk management, implementing statistical models and time series analysis to support trading strategies and hedge effectiveness testing for interest rate exposure. • Conducted daily market data analysis and model validation processes, utilising Python and statistical libraries to maintain pricing accuracy and risk metrics for the derivatives book.