Hi, I’m Pranathi!
I am a finance and computing enthusiast,
with a passion for solving complex problems at the intersection of quantitative finance, data, strategy, and innovation. Currently completing my degree at Georgia Tech, with experience across private equity, product, and risk. I bring a sharp, analytical lens to financial decision-making—focused on leveraging data and technology to drive smarter growth, build resilient systems, and create lasting impact across industries.
Current Work
Quantum Computing Research | Georgia Tech
Develop quantum algorithms to optimize financial modeling workflows, focusing on option pricing and credit risk analysis. Engineered quantum-enhanced Monte Carlo simulations that reduce computational complexity by 50%, enabling faster and more scalable risk assessments. Co-authored a peer-reviewed paper on quantum-secure financial transactions
Previous Work
Product | Airwallex (Sequoia-backed, $5.5B Valuation)
Worked in a cross-functional team to execute an API integration, reducing ad spend by $300K. Defined product success metrics, wrote PRDs, and prioritized trade-offs for three key features. Identified user pain points that drove $160K in transactions within two weeks of launching the Payment Link product.
Quant | American Express
Designed predictive fraud models that reduce false positives by 25% and improve detection precision at scale. Streamline credit risk assessment by automating workflows, cutting manual review time by 30%, and increasing approval efficiency. Integrate real-time fraud monitoring solutions that strengthen AmEx’s financial infrastructure across millions of daily transactions.
Strategy & Research | EarnIn
Built risk frameworks that optimize capital deployment across $100M+ in transactions, reducing financial exposure by 15%. Analyze 500K+ user data points to identify underwriting vulnerabilities and improve efficiency by 20%. Create dynamic risk maps that help leadership prioritize threats reinforce overall financial resilience.
Credit Research | S&P Global
Conducted credit analysis on $10B+ in outstanding debt across 20+ investment-grade issuers, evaluating risk, liquidity, and market positioning. Produce macroeconomic and interest rate research that informs institutional fixed income strategy and supports high-stakes investment decisions.
Data Science & Analytics | Splash BI
Built predictive models to improve financial forecast accuracy and flag operational risk, helping leadership make more informed planning decisions. Develop end-to-end Power BI dashboards that integrate SQL pipelines and automate reporting across business units. Analyze customer behavior trends to reduce churn and optimize revenue retention strategies company-wide.
Re:treat | Mental Health Startup | Founder
Built a mental health platform for students and led a team of six across product, outreach, and operations. Grew to 500+ users and 100+ weekly actives by focusing on community engagement and continuous feedback.