Dedicated UNSW student pursuing a double degree in Advanced Mathematics and Commerce (Finance), combining strong academic achievement with real-world business success. As the founder of two profitable ventures, I have developed robust quantitative, analytical, and financial management skills. My experience in data analysis, customer acquisition, and operational efficiency complements my deep interest in financial markets. I am eager to apply my problem-solving abilities, quantitative expertise, and collaborative mindset to a career in finance, particularly in roles that demand rigorous analysis and strategic decision-making in a fast paced environment.
Equity Valuation and Financial Modelling – NVIDIA Corporation.
Developed a comprehensive financial model, including DCF, Comparable Companies Analysis, and Precedent Transactions, to value NVIDIA. Built detailed cash flow projections, calculated Terminal Value, and used WACC for discounting. Conducted sensitivity analysis on WACC and growth rates, and benchmarked valuation multiples (EV/EBITDA, P/E, etc.) against industry peers like AMD and Intel. Culminated in a robust valuation analysis, integrating insights from all methodologies to assess intrinsic value and risks.
Algorithmic Trading Strategy for Crude Oil Using MACD, RSI, and Bollinger Bands.
Developed an algorithmic trading strategy for crude oil futures using MACD, RSI, and Bollinger Bands. The strategy generated buy and sell signals based on the convergence of all three indicators, with real-time tracking of portfolio value, cash, and holdings. Key metrics, such as the Sharpe Ratio, maximum drawdown, and cumulative returns, were analysed to evaluate performance. Implemented the project using Python, Pandas, and Matplotlib to visualise trading signals and strategy performance, optimising risk management, and decision-making in a volatile market.