As a Master’s candidate in Quantitative and Computational Finance and Computational Science and Engineering at Georgia Tech, I am passionate about leveraging advanced analytical techniques to drive financial innovation. My experience spans developing models that have led to significant cost savings and improved financial processes.In my role as a Finance Rotation Analyst, I developed analytical models that influenced and optimized business strategies, showcasing my strong quantitative problem-solving skills.My academic background includes key coursework in Numerical Methods, Stochastic Processes, Financial Optimization, and Computational Science and Engineering Algorithms. I am proficient in Python and data analysis, which I have applied in various financial analysis and forecasting projects.I am actively seeking a 2025 internship in quantitative finance, trading, or portfolio management to apply my skills in Python and financial data analytics. Feel free to reach out to me at smoss32@gatech.edu