I need a skilled data scientist to perform thorough descriptive analysis on an existing dataset. The goal is to surface key trends, summary statistics, and clear visual insights that non-technical stakeholders can quickly grasp. I will supply the raw data once we agree on the engagement; it is already cleaned enough for immediate exploration, but I’m open to your recommendations if additional preprocessing will strengthen the final story the numbers tell. Typical tools such as Python (pandas, matplotlib, seaborn), R (dplyr, ggplot2), or even Power BI/Tableau are all acceptable—please work in whichever environment lets you deliver crisp, reproducible results fastest. Deliverables • Concise written report (PDF or Word) outlining findings, notable patterns, and any unexpected observations • Well-commented code or notebook so I can reproduce every figure and table • 3–5 presentation-ready visualizations (PNG or interactive dashboard) that highlight the most important insights Acceptance criteria: results must run end-to-end on my machine, and every number displayed in the report must be traceable back to an explicit line in the code or formula. Timeline is flexible within a week; let me know if you need a bit more room.