A deeply analytical and forward-facing student with a growing foundation in data science, financial systems, and real-world operations. I’m fascinated by how markets evolve under uncertainty — and how mathematics, code, and AI can be used to model, adapt, and capitalise on that change. From working hands-on with financial systems in a post office to self-developing projects in Python and Excel, I’m actively preparing for a future in quantitative finance where precision, adaptability, and ethical innovation will define the edge. I don’t just want to study the system — I want to help build the next one.
• Supported installation, servicing, and diagnostics of residential heating and plumbing systems under direct supervision
• Operated in a safety-critical environment where strict procedures were essential to avoid serious risk to life or property
• Developed hands-on understanding of safety protocols, system logic, and precision-focused problem-solving
• Managed tools, prepared job sites, and assisted in system testing, leak checks, and equipment maintenance
• Gained exposure to mechanical systems, process efficiency, and client-facing responsibilities in real-world scenarios
• Strengthened early interest in systems thinking and technical precision — now applying those same principles to data projects, programming, and digital problem-solving in finance and tech
• Processed 50–100+ customer transactions per day, including bill payments, postal services, and identity checks
• Handled daily cash management, reconciliations, and digital payments with 100% accuracy
• Maintained internal spreadsheets for inventory tracking, stock rotation, and financial reporting
• Developed excellent client-facing communication and multitasking skills in a high-volume environment
• Supported backend administrative tasks and ensured full compliance with retail and security protocols
• Trusted with access to confidential information and independently responsible for opening/closing procedures
• Designed and operated a decentralised short-form content system across multiple monetised accounts (5M+ combined views)
• Created a spreadsheet-based tracking system to manage remote content runners, revenue shares, and performance analytics
• Implemented automation using scheduling tools, proxies, and multi-platform workflows to scale output while minimising risk
• Recruited, trained, and managed up to 10 team members, driving content growth and monetisation strategies
• Gained firsthand insight into system design, failure points, and digital risk management after program disqualification
• Introduction to Python – University of Michigan (Coursera), Jul 2025
• Excel Essentials for Beginners – Coursera Project Network, Jul 2025
• King’s Trust Mosaic Group Mentoring Programme – Certificate of Participation, 2024
•Data Analysis with Python – Coursera (In Progress)
UKMT - 2x Silver Awards
Student Council Member
Core Player in League winning Football Team
Digital Leader
Computer Scientist Of The Year Award