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
Designed Grover-based Monte Carlo simulations to speed up risk modeling for credit and derivative portfolios, reducing computational runtime by 47% across 10,000+ pricing scenarios. Enabled faster pricing of options and VaR assessments for portfolios with up to $500M in simulated exposure. Co-authored a peer-reviewed paper on quantum-secure architecture for safeguarding financial transaction systems in post-quantum environments
Previous Work
Product | Airwallex (Sequoia-backed, $5.5B Valuation)
Worked in a cross-functional team to execute an API integration, reducing ad spend by $400K. Defined product success metrics, wrote PRDs, and prioritized trade-offs for three key features. Identified user pain points that drove $260K in transactions within two weeks of launching the Payment Link product
Quant | American Express
Built fraud detection models that cut false positives by 25% and sped up approvals by 30%, improving risk ops across millions of daily transactions. Automated manual credit review workflows to increase underwriting accuracy at scale. Partnered with the real-time monitoring team to roll out tools that strengthened AmEx’s fraud infrastructure globally
Strategy & Research | EarnIn (Series C FinTech)
Created capital risk frameworks for $100M+ in active volume, reducing exposure by 15% across key funding cycles. Analyzed 500K+ user data points to uncover underwriting gaps, boosting system efficiency by 20%. Built dynamic risk maps that helped execs identify choke points and prioritize product changes
Credit Research | S&P Global
Analyzed $10B+ in outstanding debt across 20+ investment-grade issuers, evaluating credit risk, liquidity, and capital structure to guide fixed income strategy. Delivered macro and rate insights that shaped high-stakes bond allocation decisions for institutional clients
Data Science & Analytics | Splash BI
Built predictive churn and revenue models with 89% accuracy, boosting client retention strategy by 12% over 6 months. Designed Power BI dashboards linked to SQL pipelines to automate financial reporting across 5+ business units, cutting manual ops time by 35%
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 800+ users and 100+ weekly actives by focusing on community engagement and continuous feedback