Hi, I’m Pranathi!
I am a dedicated finance and technology enthusiast currently pursuing my degree at the Georgia Institute of Technology. With aspirations of becoming a polymath, I excel at merging data analytics and strategic finance to drive innovative business solutions. As a self-starter, I am committed to leveraging my expertise to create meaningful value and effectively tackle complex real-world challenges with creativity and precision
Current Work
Quantum Computing Researcher
At Georgia Tech, I am fortunate to work at the intersection of finance and quantum computing as a Quantum Algorithms Researcher. In this role, I collaborate with a dynamic team to explore how quantum technologies can reshape financial modeling. I develop innovative algorithms aimed at enhancing the accuracy and efficiency of financial models. This work has the potential to make a real impact on areas like option pricing and risk management
Previous Work
Re:treat (link), a Mental Health Startup, Founder
Led a team of 6 to provide mental health support for students, aquired 500+ users with 100+ weekly active users
Credit Risk and Fraud Intern, American Express
In my role at American Express, I focused on enhancing credit risk and fraud detection processes. I contributed to developing risk models and automating key aspects of fraud detection, improving both accuracy and efficiency. By integrating predictive analytics, I helped the team better identify and manage high-risk accounts. Additionally, I collaborated with cross-functional teams to ensure these improvements were effectively aligned with our broader financial strategies, strengthening our overall risk management framework
Strategy and Research Intern, EarnIn
At EarnIn, I took on the challenge of developing risk prioritization maps and conducting detailed market research to guide our risk management strategies. My work involved analyzing key risk metrics, which led to a more efficient allocation of resources and improved decision-making. I also had the opportunity to present my findings to senior leadership, helping to shape strategies that reduced the company’s risk exposure. This experience deepened my understanding of how data-driven insights can drive strategic decisions and strengthen a company’s position in the market
Data Science and Analytics Intern, Splash BI
During my time at Splash BI, I focused on enhancing the accuracy of our data analytics by developing predictive models and refining data collection methods. I introduced advanced PowerBI tools that transformed how we analyzed and visualized data, leading to more informed business decisions. My work on customer behavior models directly contributed to improved customer retention strategies, and the overall enhancement in data quality allowed for more precise financial forecasting
Get in Touch
pranathigoli2@gmail.com
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