Turning Excel Into an Automated Financial Modeling Engine with Python This project automates a dynamic financial dashboard by combining Python with Excel to build and analyze financial statements in real time. The script starts by reading the Inputs tab, which acts as the model’s driver. From those inputs, it programmatically generates the Balance Sheet, Income Statement, and Cash Flow tabs, performs all core calculations, and then updates the Dashboard tab automatically with key metrics, ratios, and performance analysis. Watch the video: Inputs Tab Category Account Amount Notes Sales Total Revenue (Sales) 1,000,000 Costs Cost of Goods Sold (COGS) 300,000 Expenses Operating Expenses (SG&A) 250,000 Salaries, Rent, Utilities, etc. Expenses Interest Expense 10,000 Assets Cash 120,000 Assets Accounts Receivable (A/R) 50,000 Money owed by customers Assets Inventory (Avg) 80,000 Avg inventory over the year Assets Fixed Assets (Net) 450,000 Property, Equipment minus Depreciation Liabilities Accounts Payable (A/P) 60,000 Money owed to…
