I need help turning raw records that sit in my database into clear, actionable stories. The task is purely descriptive analysis: summarising what has already happened, highlighting key patterns, and flagging any outliers or unexpected shifts. You will be drawing the data directly from the database layer, so strong SQL skills are essential. Here’s what I’m looking for: • A set of well-structured queries that pull the right slices of data. • Clean tables or data frames I can reuse for future reporting. • Visual summaries—charts or dashboards—built in a tool you feel comfortable with (Python + Matplotlib/Seaborn, Power BI, Tableau, or similar). • A brief write-up (bullet points are fine) explaining the main insights and suggesting next steps I might explore. Please mention any similar descriptive projects you’ve completed and which visualisation or BI tools you plan to use. If you foresee any prerequisites—index tuning, data cleansing, or schema tweaks—let me know upfront so we can tackle them early.