I have a full export of our historical sales records and need a predictive analysis focused on identifying emerging and declining trends across products, regions, and channels. Your task starts with cleaning the raw CSVs, moves through exploratory work, and culminates in a model that clearly surfaces where the business is heading rather than simply producing point forecasts. I’m open to your preferred stack—Python with pandas, scikit-learn, Prophet or ARIMA; R with tidyverse; even SQL for heavy lifting—as long as the workflow is reproducible and the reasoning behind each choice is explained. Visual clarity is essential, so pair the model output with intuitive charts or dashboards that let non-technical managers grasp what’s happening at a glance. Deliverables: • Well-commented notebook or script containing all data-prep, modelling, and validation steps • Visualisations (static or interactive) that highlight the key trends you uncover • A concise report (≈3 pages) outlining methods, findings, and recommended next steps The dataset is already in a cloud folder and I can walk you through field definitions on day one. Let me know your tool preference and the timeline you’d need for an initial insight draft.