Kahan Dave
Actively Seeking New Opportunities | Financial Analyst @ Wells Fargo | Ex-KPMG | FP&A | Excel (VBA) | Python | SQL | Power BI | SAP | Oracle | Anaplan | Forecasting | M&A | Scenario Modeling
- Role
- Financial Analyst at Wells Fargo
- Location
- Asheville, NC, US
- LinkedIn followers
- 500 followers
About Kahan Dave
Machine Learning Engineer with hands-on experience building scalable AI, GenAI, and…
Experience
Financial Analyst
Dec 2023 — Present · US
Developed financial models using Excel (PivotTables, Macros, VBA), Python, and Power BI to support revenue forecasting, cost analysis, and strategic decision-making for investment banking and other business units. • Reviewed monthly P&L statements and balance sheets, identifying key variances and financial trends using SAP and Oracle—helped improve the accuracy of performance reviews and internal reporting. • Automated financial reporting tasks using SQL and Power Query, which streamlined data consolidation across systems and reduced manual effort by 25%. • Assisted in planning and budgeting cycles using Oracle Hyperion and Anaplan—worked with department leads to align financial targets with operational goals. • Collaborated with the FP & A team to conduct scenario analysis and capital planning using IFRS 9 models, Bloomberg data, and Monte Carlo simulations—monitored KRIs to support risk-informed decision-making. • Led month-end close activities, including journal entries, account reconciliations, and variance checks—ensured compliance with US GAAP and IFRS standards. • Contributed to regulatory reporting including SOX documentation, ESG updates, and IFRS 17 disclosures—partnered with audit and compliance teams to ensure readiness for internal and external reviews. • Enhanced cash flow visibility by automating receivables and vendor tracking—supported treasury with more accurate forecasting and working capital planning. • Built Power BI dashboards connected to SAP and Oracle to provide real-time reporting on financial metrics, operational trends, and key performance indicators (KPIs) for senior leadership. • Supported M&A and deal valuation by improving financial models in Excel and Python—incorporated IRR, ROC, and cost of capital to guide executive decision-making in capital markets activities.
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