About Me

About Me

First Class Honours Computer Science graduate from Queen Mary University of London aspiring to advance my career within the technology sector. I have practical experience in data analysis, software development, and web technologies. Proficient in Java, Python, and Web development languages, with strong problem solving and teamwork abilities gained through both university and professional experience. I am highly adaptable for work in dynamic, fast-paced environments.


Education

2022 - 2025

Queen Mary University of London

BSc Computer Science - First Class Honours

1st year - 88%
2nd year - 80%
3rd year - 76%


Some modules include: Object Oriented Programming, Web Programming, Neural Networks and Deep Learning, Automata and Formal Languages, Operating Systems, Probability and Matrices, Database Systems, Graphical User Interfaces, Internet Protocols and Applications, Software Engineering, and Algorithms and Data Structures.


As part of my degree, I have worked on both personal and collaborative projects which enhanced my teamwork and communication skills.

2020 - 2022

Brampton College

A Levels

AAA in Mathematics, Economics, and Computer Science.

Experience

June 2025 - August 2025

MGR Weston Kay

Full-time Data Analyst

Sept 2024 - March 2025

MGR Weston Kay

Part-time Data Analyst

July 2024 - Sept 2024

MGR Weston Kay

Data Analyst Internship

  • Led a large-scale accounting software migration project at an accountancy firm, transferring data for 500+ clients with 100% accuracy and ensuring uninterrupted business operations.

  • Designed and documented migration processes, producing step by step “How-To” guides that helped colleagues adopt the workflow with confidence, strengthening team capability and reducing reliance on external support.

  • Reviewed trainee work and collaborated with outsourced firms to resolve discrepancies, cutting migration error rates.

  • Provided training and acted as primary contact for partners and staff, resolving any urgent migration issues.

Sept 2023 - December 2023

Queen Mary University of London

Demonstrator - Procedural Programming

  • Supported undergraduate students in coding labs, offering guidance on programming assignments in Python.

Skills

Programming

Proficient in Java and Python through multiple university modules including Further Object Oriented Programming.


Used C# (Unity) in my Final Year Project to create a 2D platformer influenced by the players' biometric data.


Experienced in HTML, CSS, JavaScript, and PHP to build responsive web applications including a portfolio website with a fully functional blog.

Frameworks and Technologies

  • Django and SQLite

  • Vue, React, and React Native

  • Unity

Interpersonal Skills

  • Problem Solving

    Developed strong analytical thinking through my experience at MGR and during university projects.


  • Communication

    Communicated effectively with team members in group projects as well as colleagues and senior partners in a professional setting.


  • Adaptability

    Quickly gained proficiency in several new accounting systems and evolving project scopes.


  • Time Management

    Managed part-time work and university responsibilities concurrently, while consistently meeting deadlines.


  • Team Collaboration

    Worked with university peers, work colleagues, trainees, and outsourced teams to ensure successful project delivery.

Projects

Real-time 2D Heart Rate Platformer

My Final Year Project as part of my Computer Science Degree at Queen Mary University.

This project is a simple 2D platform game that takes heart rate sensor data from the player, using a Polar H10 chest strap, and uses this data to influence core game mechanics such as platform generation.


Using: Python, Unity, C#, UDP sockets.

React Weather App

Detailed weather app made for outdoor enthusiasts.


Using: HTML, CSS, JavaScript, JSX, React framework, and a weather API.

Recharge

Mental Wellbeing app designed for FDM employees.


Using: React Native with Expo CLI, Typescript, and Supabase (PostgreSQL).

Hobby24

A social media web app that recommends friends based on users' hobbies.


Using: Typescript, TailwindCSS and DaisyUI, Pinia, Vue router with the Vue Framework, Python, Miniconda, SQLite, Django, Django REST API, and Selinium E2E Testing.