I am a data-driven professional with a passion for the intersection of technology and finance. My journey into quantitative finance began during high school, sparked by an interest in stock market trading during quarantine. This evolved into a deep fascination with leveraging coding to optimize and analyze financial data.With a B.S. in Computer Science from Purdue University, I gained experience working with CliftonLarsonAllen through The Data Mine. There I developed dynamic pricing models using R, Python, and SQL. My role as a Software Engineer Intern at Publicis Sapient further solidified my expertise, involving key contributions to a stock trading app and in-depth market analysis.Currently pursuing an M.S. in Mathematics in Finance at NYU Courant; I am refining my skills in financial modeling, algorithmic trading, and portfolio optimization. My technical experience encompasses app and web development using technologies such as React, Azure, Django, Android Studio, and SQL; as well as engineering AI prompting solutions for such applications. I have also designed robust databases to manage large datasets and improve accessibility.I excel in communicating complex concepts and educating teams on financial markets, which enhances collaborative efforts and drives impactful results. My goal is to merge my technical background with advanced quantitative methods to create innovative solutions that drive financial performance and manage risk effectively.
