Detail-oriented finance student with strong quantitative, econometric, and financial modeling skills. Experienced in investment analysis, valuation, and programming for financial applications. Proficient in MATLAB, Stata, Python, and Bloomberg Terminal. Demonstrates advanced analytical thinking and teamwork through academic and internship experiences. Passionate about quantitative investing and data-driven financial strategies.
CFA Institute Research Challenge 2024, 11/01/23, 02/29/24, Conducted value chain and business model analysis of Jamjoom Pharma, Identified key revenue and cost drivers, Performed DCF valuation, sensitivity, and scenario analysis, Presented findings and investment recommendations to CFA panel Equity Factor Backtesting (Personal Project), Built a Python-based backtesting tool to evaluate momentum and value factors on S&P 500 constituents, Applied statistical analysis and performance metrics such as Sharpe Ratio and Alpha, Used Pandas, NumPy, Matplotlib for data manipulation and visualization