Web3 Talent

I’m currently studying Financial Technology at Imperial College London, after completing an MSc in Data Science at the University of Manchester and a BSc in Computing at the University of Kent. During my undergraduate degree, I wrote my dissertation on whether Twitter activity could predict short-term stock price movements — a project that introduced me to working with real-world data and applying machine learning techniques to time-sensitive problems.

Since then, I’ve built a solid foundation in Python, SQL, and data infrastructure. At Amazon, I worked as a Business Intelligence Engineer Intern, where I optimised data pipelines and developed internal tools to improve the visibility and reliability of reporting across teams. I’ve also worked on personal and academic projects involving API integration, ranking logic, and data visualisation — including a Python-based screening tool for equity data and a dashboard monitoring system.

I’m looking to join a team where I can contribute to solving real problems with data, work with people who care about building things well, and continue improving my ability to design and deliver tools that have a clear purpose.