Curious and driven professional with a strong foundation in mathematics and a lifelong passion for the natural sciences and data-driven insights. With experience in business management, teaching, AI annotation, and research, I bring a versatile skill set encompassing analytical thinking, problem-solving, and the ability to interpret and communicate complex information clearly. Following years of dedicated study and skill-building, now transitioning into a long-awaited career in statistics and data analysis, where I can apply my expertise to support evidence-based decision-making in healthcare, contribute to impactful clinical research within the NHS Blood and Transplant (NHSBT) group, and further my professional growth in healthcare analytics. My ability to manage complex workloads, prioritise tasks efficiently, and meet demanding deadlines is evident from my extensive academic and professional journey, demonstrating strong organizational and time-management skills in high-pressure environments.
Academic: Researched persistent homology and applied TDA to identify patterns in complex datasets. Implemented algorithms using Julia to test and analyse results. Developed research, problem-solving, and technical reporting skills.