I have an existing dataset and I want to turn it into clear, data-driven forecasts. Your job is to run a full predictive analysis focused on forecasting future trends, then translate the results into practical insight I can act on. Here’s what I need from you: • Clean and prepare the raw data I provide, documenting any assumptions or transformations. • Choose and justify the forecasting technique that best fits the data—classical time-series models, machine-learning approaches in Python (pandas, statsmodels, scikit-learn) or R are all acceptable as long as they are reproducible. • Evaluate model performance with appropriate metrics and validation steps. • Produce a concise report that explains the methodology, shows key visualisations, and highlights the main trends and their expected trajectory. • Deliver the well-commented source code or notebook alongside the report so I can rerun or extend the analysis later. The analysis should be transparent and reproducible; I’ll lean on your recommendations for tool choice and presentation format as long as the final deliverables cover the points above and give me confidence in the forecast.