Bhuvan R

• Provided advance financial management support with minimal supervision. • Produced monthly FP&A reports on a $500M portfolio, enabling leadership to reduce operating expenses by 8% YoY. • Designed automated forecasting and budgeting models in Excel/Python, cutting reporting time by 30% and improving forecast accuracy by 12%. • Developed SQL-based data pipelines and dashboards, improving data integrity to 99% and retrieval speed by 40%. • Led SOX and GAAP compliance reviews, achieving 100% audit readiness and zero findings across three consecutive quarters. • Partnered with product and finance teams to model revenue scenarios and pricing impacts for payment solutions, improving annual profitability forecasts by $5M. • Delivered detailed cash-flow forecasting and variance analysis for a $200M lending portfolio, improving budget accuracy by 15%. • Consolidated multi-currency statements in Oracle Financials, reducing reconciliation effort by 25 hours/month. • Built Power BI dashboards and ad-hoc SQL queries to track KPIs, accelerating leadership reporting by 35%. • Integrated multi-unit budgeting models into a single platform, resulting in a 90% reduction in variance submission errors and accelerating final approval by 10 business days.

• Created financial management support and developed financial models. • Led FP&A forecasting and budgeting processes for a $50M operating budget, improving annual forecast accuracy by 7% through optimized cost and revenue modeling. • Automated weekly reconciliations using VBA macros and Excel Power Query, saving 20 hours/month. • Supported preparation of SEC filings and IFRS compliance documents, maintaining zero errors across 15 reports. • Analyzed competitors and market trends, driving a 10% revenue increase in 3 new product lines. • Authored standard operating procedures, reducing financial processing errors by 15%. • Built Power BI dashboards and ad-hoc SQL queries to track KPIs, accelerating leadership reporting by 35%. • Detected expense anomalies that recovered ₹20M $250K and strengthened internal controls. • Enhanced credit-risk assessment models, lowering default rates by 5% through predictive analytics. • Modeled the financial impact of a new product launch, which contributed to a 15% increase in projected Customer Lifetime Value CLV and guided a $10M marketing spend decision.