I have a set of customer survey responses and I need them transformed into clear, actionable product-feedback insights. The workflow I have in mind is straightforward: • Load and clean the raw survey data in python so it is well-structured for analysis. • Explore and model the data with Python (pandas, NumPy, matplotlib or seaborn are fine) to surface patterns in what shoppers like, dislike, and expect next from our product range. • Build an interactive Power BI dashboard that lets non-technical teammates drill down by questions, segments, or time periods and quickly spot the most common themes and emerging preferences. Please deliver the cleaned SQL tables, well-commented Python notebooks or scripts, a packaged .pbix file, and a concise slide or PDF summary of the key product feedback insights. I’ll consider the job complete once the dashboard updates seamlessly from the database connection and the findings are reproducible end-to-end on my side.