Madhulika
Financial Analyst @Citi
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WORK HISTORY
Financial Analyst @Citi
US
Performed in-depth variance analysis of actuals vs. budget across operational, payroll, and overhead expenses, strengthening cost governance and reducing unplanned expenditures by 13% during the fiscal year.• Designed budget templates, rolling forecast models, and monthly reporting packages using Advanced Excel and VBA, improving cross-functional reporting efficiency and reducing data errors by 18%.• Engineered structured financial reconciliation frameworks using Excel and SQL to validate large datasets, cutting manual discrepancies by 30% and generating annual savings exceeding $250K through improved reporting accuracy.• Built financial dashboards and forecasting models in Tableau, applying statistical analysis and trend projections to enhance cash flow visibility and improve forecast precision by 25%.• Partnered with portfolio managers and executive leadership to develop risk-adjusted performance frameworks and scenario models, contributing to a 30% increase in portfolio returns while maintaining controlled risk exposure.• Developed valuation and capital allocation models (DCF, IRR, NPV) in Excel and Power BI to support corporate lending decisions, facilitating $950M+ in credit approvals with robust risk-adjusted return analysis.
EDUCATION
University of North Texas
Masters , Data science
Jawaharlal Nehru Technological University
Bachelor of Technology - BTech, Computer Software Engineering
ABOUT MADHULIKA
Financial Analyst with 4+ years of experience in FP & A, corporate finance, and consulting, delivering strategic financial insights and performance optimization across banking and advisory environments. Proven ability to translate complex financial data into actionable recommendations that enhance cost efficiency, strengthen reporting accuracy, and drive business performance. Strong expertise in financial statement analysis, P&L management, cash flow oversight, and risk assessment within GAAP-compliant frameworks. Proficient in Advanced Excel, SQL, Python, R, Tableau, and Power BI to automate reporting, enhance data integrity, and improve financial analysis efficiency.
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