Atlanta, Georgia, United States
I’m a Master of Science in Analytics candidate at Georgia Tech, driven by using data to inform strategic decisions and solve real-world problems. My background spans financial modeling, data storytelling, user testing, and impact-driven research across industries—from mortgage finance and litigation analytics to public health and economic policy. Outside of work and study, I’m usually exploring new food spots or planning my next travel adventure. I’m currently seeking Summer 2026 internships in Analytics and Product roles where I can leverage my technical skills and business intuition to build user-centered, data-driven solutions. If you’re working on impactful, data-informed projects, let’s connect!
Serving as a TA for the course MGT 6201: Foundations of Business.
As a Business Analyst contracted through The Oakleaf Group, I served as the lead User Acceptance Tester during two major releases of Fannie Mae’s model inventory platform, ensuring high-quality deployments in an Agile environment. Additionally, I maintained and optimized over 200 SQL queries to enhance data quality and created Tableau dashboards to improve model usage transparency among stakeholders. My primary technical tools included SQL, Tableau, and JIRA.
In my role as Financial Engineer at The Oakleaf Group, I conducted in-depth financial modeling and damages analysis for RMBS litigation cases, applying Monte Carlo simulations to support expert testimony. I also led automation initiatives that improved workflow efficiencies by 30%, and collaborated on developing resource management tools to enhance project allocation and transparency. My primary technical tools included Python, Excel, and R.
In my role as ORISE Research Fellow at the Centers for Disease Control and Prevention (CDC), I enhanced data quality and governance standards for monitoring COVID-19 vaccination data while applying text mining techniques such as sentiment analysis to analyze survey data from over 100 healthcare facilities. My visualizations and reports informed the Principal Branch Chief and supported improved trend detection. My primary technical tools included R, Tableau, and Excel.
As Circulation Desk Supervisor at Musselman Library, I supervised a team of 15 workers to ensure smooth circulation operations and provided excellent service by assisting up to 100 library patrons daily with interdisciplinary research queries.
Led over 15 weekly laboratory sessions for Introduction to Microeconomics students to enhance their understanding and provided additional support through tutoring and review sessions.
As Railing Research Fellow, I conducted independent research on the potential of crowdfunding platforms in Nepal, interviewing entrepreneurs and analyzing survey data with quantitative regression in Stata.