SaaS Financial BI and Forecasting

I built a SaaS FP&A workflow that links customer acquisition, churn, pricing and expansion to revenue forecasts. The project includes budget-vs-actual analysis, an operating-income bridge, planning scenarios, Power BI reporting and an executive memo. Python produces report-ready data and reconciliation checks. The analysis supports discussion of cost discipline, retention and planning assumptions. This is a personal simulation of a fictional business using entirely synthetic data. Its financial results and forecasting accuracy are simulation findings, not client outcomes or guarantees.

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