SQL & Python Customer Analysis

I need help turning a raw set of customer records stored in my SQL database into clear, actionable insights. The work starts with efficient SQL queries to pull and tidy the data, then moves into Python—Pandas, NumPy, and any plotting library you prefer—for the exploratory analysis and visualisations. My biggest interest is understanding the patterns that sit beneath the numbers: what customers do, how often they return, and which factors appear to drive purchasing. Once the data story is uncovered, I would like a concise written summary and the reusable code so I can rerun the process whenever fresh data arrives. Deliverables • Well-commented SQL scripts for data extraction and cleaning • A Python notebook (or .py script) detailing the analysis, charts included • Short report highlighting key findings and recommended next steps I’ll provide database access credentials and sample data as soon as we start. If your workflow is solid and your explanations are clear, that’s exactly what I’m after.