Keishan Moreno

As a dedicated and ambitious student pursuing a B.S. in Computer Science with a minor in Mathematics focused on Data Science, I have cultivated a robust foundation in quantitative analysis and software development. My experience as a Quant Analyst Intern at GK Wealth Management has allowed me to create a portfolio optimization model that maximizes the Sharpe ratio while adhering to client risk tolerances. Additionally, I developed a machine learning-driven equity strategy that achieved an impressive 51% CAGR and a 1.6 Sharpe ratio in backtests.

My internship at Markzware as a Software Engineer Intern provided me with hands-on experience in full-stack development, where I successfully developed an Adobe Express Add-On portal using HTML, CSS, and JavaScript. I also deployed Amazon S3 for efficient server file handling. My role as an Equities Analyst Intern at Clarity Markets further honed my skills in equity research and financial analysis, utilizing Python and SQL for statistical modeling and data manipulation. I am passionate about leveraging technology to drive financial insights and optimize investment strategies.