I’ll provide raw website/app usage data from my Swiggy account and need a focused analysis that shows me how to lift sales. The scope is intentionally lean—just one data source—so I’m looking for a streamlined yet actionable study rather than a full-scale BI rollout. Key objectives • Trace the customer journey from landing to checkout and flag where drop-offs hurt revenue. • Identify high-value user segments, ordering patterns, and time-of-day spikes that can be leveraged for targeted offers. • Deliver clear, data-backed recommendations I can act on immediately to boost conversions and average order value. Expected deliverables • A cleaned dataset plus reproducible Python or R notebook (SQL welcome if used). • Visual summary with key charts—static images are fine; a lightweight Tableau/Power BI view is a bonus. • Concise report (max two pages or slides) outlining top insights and next steps. Timeline is flexible but I’d like first results within a week so we can iterate quickly if needed. If you’re comfortable wrangling usage logs, running funnel analyses, and translating findings into plain-English actions, I’m ready to get started.