Nagothu Shravya
Financial Analyst @Morgan Stanley
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WORK HISTORY
Financial Analyst @Morgan Stanley
Analyzed financial performance across multiple business units using budget vs. actuals, variance analysis, and trend reporting to improve forecast accuracy and reduce cost overruns by 10%. • Designed and delivered Power BI and Tableau dashboards to track revenue, expenses, KPIs, and cash flow metrics, reducing executive reporting turnaround time by 20%. • Built advanced financial models including DCF, ROI, profitability, scenario, and sensitivity analysis to support investment decisions and long-term financial planning. • Automated recurring P&L, balance sheet, and cash flow reports using SQL, Python, and Excel, improving data accuracy and reducing manual reporting effort by 40%. • Partnered with compliance, audit, and finance leadership to ensure financial reporting aligned with US GAAP, IFRS, and internal regulatory reporting standards. • Performed detailed month-end close activities including account reconciliations, variance explanations, and review of financial statements to ensure audit-ready reporting.
EDUCATION
Sacred Heart University
Master of Science, Computational Science
Sacred Heart University
masters, Computer and Information Sciences, General
ABOUT NAGOTHU SHRAVYA
Financial Analyst | Data-Driven Decision Maker | FP & A & Corporate FinanceI am Financial Analyst with 3+ years of experience in FP & A, corporate finance, and financial reporting. I specialize in leveraging advanced data analytics and financial modeling to deliver actionable insights that drive strategic decision-making and operational efficiency.I have a proven track record in:Budgeting, forecasting, and variance analysis to improve forecast accuracy and cost efficiencyP & L, cash flow, and KPI analysis for executive management reportingAutomating financial processes using SQL, Python, Excel, Power BI, and Tableau, reducing manual effort by 40%Supporting compliance and regulatory reporting under US GAAP and IFRSI thrive at the intersection of finance and technology, partnering with cross-functional teams to optimize costs, enhance reporting accuracy, and accelerate month-end close cycles. Passionate about transforming financial data into insights that support sustainable growth and informed business decisions.
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