I am a Graduate Data Scientist at Lloyds Banking Group, bringing my passion for data science and unique background in theoretical physics to the team. With a dedication to addressing real-world challenges, I am determined to leverage machine learning and AI to create a significant impact in my role.I hold a PhD in Physics from the University of Hertfordshire, where I also worked as a Visiting Lecturer. During my doctoral research, I delved into new geometric methods for studying scattering amplitudes in quantum field theory, pushing the boundaries of theoretical understanding. My dedication to research is reflected in my established publication record and continuous pursuit of knowledge.Before this, I completed a MASt in Applied Mathematics at the University of Cambridge, graduating in the top 5% of my cohort. Over the past decade, I have cultivated a comprehensive background in Applied Mathematics and Theoretical Physics, consistently expanding my horizons at the tertiary level.As a software developer, I am proficient in Python and Mathematica, utilising these powerful tools to extract meaningful insights from data. During my doctoral studies, I published a Mathematica package in the Journal of Computer Physics Communications, showcasing my ability to bridge theory and practical implementation.While I am self-motivated and capable of independent study, I thrive in collaborative environments. I actively seek opportunities to collaborate with fellow researchers and industry professionals, recognising the collective power of diverse perspectives and expertise.If you're interested in connecting, collaborating, or discussing exciting data science projects, please don't hesitate to reach out.