Aspiring Quantitative Trader with a passion for financial markets and data-driven innovation. I am motivated by the dynamic world of trading and the potential of harnessing data to drive impactful decisions. My goal is to develop cutting-edge strategies that integrate quantitative analysis with technology to create robust trading solutions.

I am pursuing a degree in Financial Mathematics and Data Analysis through the CUNY Baccalaureate for Unique and Interdisciplinary Studies at Hunter College. This program allows me to tailor my education to bridge finance, mathematics, and computer science, providing a comprehensive foundation in quantitative finance and market analytics. My academic journey equips me with the critical skills needed to navigate complex financial systems and analyze data effectively.

My current focus is on mastering Python, machine learning techniques, and algorithmic trading strategies. I am particularly interested in exploring predictive modeling, risk management, and portfolio optimization. By combining technical expertise with market insights, I aim to innovate trading solutions and contribute meaningfully to the world of quantitative finance.