I am a CPA candidate with a Bachelor of Commerce in Accounting and a minor in Mathematics. My passion lies in leveraging data analytics and advanced technology to drive financial insights and innovation. With strong technical expertise in programming languages such as Python, SQL, and MATLAB, I have developed predictive models and simulations for financial forecasting and decision-making. My projects include building neural network models for financial trend prediction, optimizing portfolio strategies through reinforcement learning, and employing data visualization tools like Tableau and Seaborn to uncover actionable insights. My background in data analysis and machine learning has enabled me to understand and address complex financial challenges, bridging the gap between technical solutions and strategic financial outcomes. I thrive on exploring innovative ways to enhance financial reporting, optimize investment strategies, and support data-driven decision-making. As I pursue my CPA designation, I am eager to apply my combined expertise in accounting, mathematics, and technology to help organizations achieve sustainable growth and operational efficiency.