
Quantitatively oriented economics graduate with rigorous training in econometrics, applied econometrics, and calculus/mathematics for economics. Demonstrates strong proficiency in statistical analysis, mathematical modelling, and data-driven financial analysis using Python and STATA. Well-prepared for advanced quantitative coursework, with a focused interest in financial modelling, risk management, and computational finance.
Undergraduate Dissertation: Bitcoin Market Efficiency and the Introduction of Bitcoin ETFs
Conducted an empirical analysis of Bitcoin market efficiency following the introduction of Bitcoin Exchange-Traded Funds (ETFs). Applied econometric and applied econometric techniques to examine price behavior, return predictability, and market efficiency dynamics before and after ETF adoption. Utilised statistical analysis and data modelling in STATA and Python to evaluate market responses, volatility patterns, and informational efficiency, demonstrating strong quantitative and financial analysis skills.