A highly motivated second-year undergraduate Physics student at King’s College London, with a strong foundation in advanced mathematics, data analysis, and computational problem-solving. I have honed my technical skills in Python, Java, C/C++, and parallel programming through hands-on experience at one of the UK’s leading supercomputing facilities, EPCC. In addition, my exposure to financial management, business development, and project leadership roles has equipped me with the practical knowledge necessary for the finance sector. My ability to lead teams, develop innovative solutions, and manage complex projects, coupled with my academic training in statistical analysis and numerical modelling, enables me to adapt swiftly to dynamic environments.
I bring a unique interdisciplinary approach, blending quantitative analysis with real-world problem-solving experience, which positions me to contribute effectively to data-driven, analytical, and strategic roles in finance. My passion for leveraging data science and programming in financial contexts makes me a strong candidate for roles requiring a keen understanding of both financial markets and technological innovation.
Working with C/C++ coding languages to generate codes for parallel programming to operate EPCC's supercomputer.
Working with large data sets and optimising sorting codes to the fastest and most precise result.
Worked with one of the UK's largest supercomputers(Archer).
Python Programming certificate from the University of Michigan
Data sorting certificate from the University of Michigan
JAVA programming certificate from Vectoral Education
Parallel Programming certificate from EPCC
Dinghy 1 Sailing certificate
Dinghy 2 Sailing certificate
Enterprise Award by King's Entrepreneurship Institute
Careers 360 Award by King's Entrepreneurship Institute