I have several months of sales figures currently stored as Excel/CSV files. I need a specialist who can first run a solid data-validation pass to spot and fix duplicates, missing values, or outliers. Once the dataset is clean, I want to understand what story the numbers tell—specifically which products or regions are climbing, flattening, or slipping over time—and then see statistically sound forecasts that project the next few periods. Please work directly in Excel or any tool that can read the CSVs and, if it speeds things up, feel free to leverage Python (pandas, NumPy), R, or Power BI for visuals; just make sure the final outputs drop back into the workbook so I can share them internally. Deliverables: • A cleaned master spreadsheet with notes on any corrections made • A clear trend summary (charts + brief narrative) • Forecast tables and graphs with a short explanation of the model or method used I’m looking for accuracy, transparency on methods, and concise insights I can hand to leadership without extra editing.