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I have a series of Customer-Experience (CX) reports that were built by someone else and I’m running into two persistent headaches: the layouts never look quite right and the whole thing slows to a crawl whenever I refresh or filter the data. I’d like you to dive into the existing codebase—whatever language or mix of SQL, Python, R, or something else it was written in—and clean it up so the reports render cleanly, run quickly, and draw from a richer, better-structured data set. Here’s what I need from you: • Audit the current report logic and pinpoint the root causes of the formatting problems and performance issues. • Refactor or rewrite the underlying scripts/queries so visuals line up perfectly and refreshes complete in a reasonable time. • Improve the data layer (“data up”) by validating sources, adding any missing joins or calculations, and making the dataset sturdy enough for deeper analysis. • Document your changes clearly so I’m not back in the dark the next time something needs tweaking. Acceptance criteria • All CX reports load in under 5 seconds with full interactivity. • Visual elements stay aligned and printable/exportable without manual fixes. • Data transformations are transparent and reproducible, with comments or a short README explaining the flow. If you’re comfortable jumping into an unknown stack, diagnosing the bottlenecks, and handing back streamlined, future-proofed reports, I’m ready to get started right away.
Project ID: 40564876
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Active 57 yrs ago
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