I have a sizeable set of sales data that needs to be explored for meaningful trends. My main objective is to understand how our numbers are moving over time—seasonality, spikes, dips, and any longer-term shifts that will guide strategy. Python is my preferred toolset, so I’m picturing a clean, well-commented Jupyter notebook that pulls the raw CSVs, handles any necessary cleansing, and then walks through the full trend analysis with pandas, NumPy, and visualization libraries such as Matplotlib or Seaborn. You’ll have full access to the data and can recommend additional libraries if they improve clarity or speed. At the end, I need both the notebook and an executive-friendly summary (PDF or slide deck) that highlights the key findings, annotated charts, and your interpretation of what the trends actually mean for the business. If you spot anomalies or outliers along the way, flag them and suggest possible causes so we can dig deeper later. Once we agree on structure, I’d like interim check-ins so we can adapt the focus if early insights point in a new direction.