United States
I recently graduated from Georgia Tech with a Bachelor's degree in Industrial Engineering and am currently pursuing a Master’s in Quantitative and Computational Finance, with a focus on statistical modeling, time-series analysis, and data-driven decision-making. My experience centers on building quantitative models to solve real-world problems. At Walmart, I developed predictive and time-series models to quantify operational risk, driving $750K+ in identified savings and reducing system errors by 37% through real-time analytics tools. Currently, at Capital One, I am working on modeling customer behavior and identifying opportunities to optimize credit card acquisition strategies. I’ve also applied advanced analytics in consulting settings, developing forecasting models (ARIMA, EWMA) and optimization-driven insights for clients. My technical toolkit includes Python, R, SQL, and statistical modeling techniques. I’m seeking quantitative roles where I can apply rigorous modeling, data analysis, and statistical methods to solve complex financial and business problems.
Planned Pethood- Worked and helped develop enhanced financial streams and develop marketing strategies
● Tutor students K-12 in all subjects, including APs
● Update the Employee Database ● Tasked with marketing to recruit new employees