Tech Financial Forecast and Valuation Modules

I’m putting together a complete suite of forecasting, budgeting, and valuation models for a technology company and I’d like these modules to be reliable enough to guide imminent investment decisions. The core assignment is to build (or refine) dynamic, driver-based financial statements that roll seamlessly into a valuation dashboard. Historical data is clean and available; what I need is the framework that turns those numbers into forward-looking insight.

Here’s what I expect to walk away with:
• A three-statement model (income, balance sheet, cash-flow) that links together flawlessly, lets me toggle key tech-sector assumptions, and produces multi-year projections.
• A budgeting layer that compares actuals vs. plan and flags variances automatically.
• Valuation outputs—DCF, multiples, and scenario-sensitive sensitivity tables—presented in a concise summary tab that I can drop straight into a pitch deck.
• Clear, commented formulas in Excel (or Google Sheets) so future edits are painless, plus a brief walkthrough video or PDF that explains the logic.

If you prefer Power Query, VBA, or even a lightweight Python script to automate data pulls, feel free to suggest it—efficiency matters as long as the final deliverable remains easy for non-technical stakeholders to use.

Acceptance criteria: numbers reconcile down to the last cent; sensitivities recalculate without error; and every assumption is both traceable and editable in one place. If that sounds straightforward, let’s get started—I’m keen to review an initial draft model before we lock the structure.