Financial Mathematics graduate with expertise in quantitative analysis and data visualization
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Analytical and detail-oriented Financial Mathematics graduate from a CFA-affiliated university, with proven skills in quantitative analysis, financial modelling, and data visualization. Experienced in R, Python, Tableau, and Excel for financial reporting and forecasting. Currently learning Generative AI to improve my skills. Eager to contribute technical and analytical expertise to drive data-driven decision-making.
Learning Tutor - Success Gateway
(2023-11 - 2024-07)
Work Experience - Schroders - London
(2019-07 - 2019-07)
Accountancy Work Experience - Asmat and Co Accountancy Firm
(2019-07 - 2019-08)
Charity Work Experience - Sue Ryder Charity
(2019-09 - 2019-09)
BSc Hons - Financial Mathematics - Lancaster University (CFA Affiliated) (2019-09 - 2022-06)
A-Levels - Mathematics, Business Studies, Philosophy and Ethics - St. Bernard's Catholic Grammar School (2016-09 - 2019-06)
GCSE - 10 including Maths, Business Studies and double Science - St. Bernard's Catholic Grammar School