I have several raw datasets from our fitness center and want to turn them into clear, revenue-boosting insight. Here’s the workflow I need completed: • Data labeling – Precisely tag every record in our customer transaction data so downstream analysis is accurate. • Customer clustering – Build segments using purchase history and demographic information to reveal high-value members, churn risks, and upsell candidates. • Sales data analysis – Uncover seasonal trends, product mix performance, and cross-sell opportunities, presenting results in easy-to-read visuals. • Marketing strategy design – Translate the findings into a practical plan: campaign ideas, channel mix, key messages, KPIs, and projected revenue lift. Deliverables should include: – Clean, labeled transaction dataset with a brief data dictionary. – Reproducible notebooks or SQL scripts for clustering (k-means, hierarchical, or the algorithm you justify) with validation plots. – Sales insight report in Tableau, Power BI, or Python visualizations. – final report including everything. Show me how your skills and past work prove you can hit these milestones. If you can automate parts of the pipeline for monthly refreshes, let me know—that’s a plus.