Priyanka Yandrapalli

Financial Analyst @Stripe

Harrison, NJ, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2025 — Present

Financial Analyst @Stripe

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Led quarterly FP & A and rolling forecasting for a $185M operating expense portfolio spanning Payments and DeveloperPlatform business units using Excel and Workday Adaptive Planning, improving forecast accuracy by 14% and reducingbudget variance leakage by 11%.• Built driver-based OpEx models integrating headcount, compensation, vendor contracts, and infrastructure costs using Excel,Power Query, and SQL, identifying $6.8M in annualized cost optimization opportunities across 9 cost centers.• Performed ROI and payback analysis on technology modernization and process automation initiatives using Excel and SQL,quantifying return profiles to support $18.5M in capital allocation and initiative prioritization decisions.• Developed cohort and product finance views by segmenting merchant accounts by vintage, revenue tier, and profitability inSQL and Excel, improving contribution margin visibility by 9% and informing growth strategy across product lines.• Executed monthly variance analysis and ad hoc executive analysis across engineering, operations, and go-to-market spend,producing leadership review packs in Power BI and PowerPoint, accelerating finance decision cycles by 1.9 days.• Maintained SOX-aligned financial controls and US GAAP reporting integrity by reconciling general ledger to managementreporting datasets in Excel and SQL, reducing close-cycle adjustments by 21% and improving audit readiness.

EDUCATION

N/A

Wilmington University

Master of Science, Information Technology

N/A

Jawaharlal Nehru Technological University

Bachelor of Technology, Computer Engineering

ABOUT PRIYANKA YANDRAPALLI

Financial Analyst with 4+ years of experience in FP & A, financial modeling, and capital structure analysis across fintech, payments, and financial services. Proven track record of managing end-to-end budgeting, forecasting, and variance analysis for portfolios up to $185M, delivering improved forecast accuracy and cost optimization. Expertise in building driver-based OpEx models, performing ROI and scenario analysis, and translating complex financial data into actionable insights for executive decision-making. Advanced proficiency in Excel, SQL, Python, Power BI, and Tableau, with hands-on experience in Workday Adaptive Planning and ERP systems. Strong foundation in US GAAP, SOX compliance, and audit-ready reporting, with a focus on driving profitability, operational efficiency, and strategic growth.

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