I have an Actuarial Science Bachelor’s of Specialized Honours at York University with experience across consulting and financial institutions, including Deloitte, RBC, and CIBC. My work has focused on building stochastic models, applying machine learning to financial problems, and translating complex data into actionable insights for risk, pricing, and capital decision-making. I’ve worked on projects ranging from interest rate modeling and trading strategy simulation to developing LLM-powered analytics tools for liquidity risk. Through these experiences, I’ve developed a strong interest in the intersection of quantitative modeling, markets, and data-driven investment strategies. I’m currently pursuing the Master of Management in Artificial Intelligence (MMAI), where I’m deepening my skills in applied machine learning, data science, and real-world analytics. I’m particularly interested in quantitative research, macro strategy, and systematic investing.