I specialize in quantitative finance, applying machine learning and risk management to enhance decision-making. With a background in actuarial science, I’ve implemented models like Random Forest and K-Means to classify bank vulnerabilities and improve risk assessment. I’ve automated complex financial processes driving efficiency and deeper analysis. My expertise includes stress testing and adapting to regulatory changes like IFRS 9, ensuring compliance while optimizing financial performance. I'm passionate about cross-functional collaboration to drive data-driven decisions, bringing together insights from different departments to deliver impactful results. Currently pursuing a Master’s in Computational Finance, I’m dedicated to leveraging data-driven insights to shape the future of quantitative finance.