I’ve compiled six months of raw sales data and now need a sharp statistical mind to transform those numbers into a reliable forecast. The objective is straightforward: build a data-driven model that predicts our future sales and highlights the key drivers behind those projections. You’ll start by cleaning and structuring the dataset, then apply time-series or other suitable predictive techniques in Python, R, or a comparable analytics environment. Please visualise the trends in clear charts (Matplotlib, Seaborn, ggplot2, or similar) and summarise your findings in a concise, non-technical narrative that management can act on immediately. Deliverables: • Cleaned and documented dataset • Reproducible analysis notebook or script • Forecast results with confidence intervals and visualisations • Brief report outlining methodology, assumptions, and actionable insights I’m happy to clarify any data quirks or business context you might need—just let me know.