Enterprise Financial Forecasting with Machine Learning

Build an advanced financial forecasting system using Python that combines time series analysis, machine learning, and scenario modeling for enterprise-level financial planning. Implement techniques like ARIMA, Prophet, and gradient boosting models to predict financial metrics. Create a flexible architecture that supports multiple forecasting methodologies, handles complex seasonal patterns, and generates comprehensive uncertainty intervals. Design a Google Sheets integration for interactive scenario exploration and real-time forecast updates.