Cleaned and standardized a messy customer transaction dataset using Excel and Power Query. The project included correcting inconsistent text and category values, standardizing dates and phone numbers, converting order amounts into usable numeric data, handling missing values, removing duplicates, and organizing the final dataset into a clean structure. Basic PivotTable summaries were also created to make the cleaned data immediately usable for reporting.

I built MessyAPI to help developers clean, validate, and transform data without rebuilding the same utilities for every project.

We’re also exploring referral and reseller partnerships with developers, agencies, and creators. Interested in bringing MessyAPI to your customers or audience? Let’s connect.

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Hi Mike, do you also have paid CSV test-data or validation QA tasks around MessyAPI, alongside referral partnerships? I'm offering small AI-assisted CSV cleanup jobs and could propose a scoped paid pilot with input cases, expected outputs and edge-case checks. I would review the...