I have a collection of CSV and Excel files that need to be transformed into reliable forecasts. Your task is to explore the data, clean and prepare it where necessary, and then build a predictive model that answers the core business questions I’ll outline once we start. Acceptance criteria and deliverables • Well-commented code or notebook (Python, R, or similar) that loads, cleans, and models the data • A concise report (PDF or Markdown) explaining methodology, key findings, and model performance metrics • An output file containing the final predictions with confidence intervals or probability scores • A brief “how-to-run” guide or requirements.txt to let me reproduce everything locally Accuracy and transparency are critical, but I also value clear communication and a quick turnaround. If this sounds like a good fit, let’s bring these raw spreadsheets to life and turn them into actionable insights.