Messy CSV exports should not be cleaned by guessing.
I built two small Python demos: one separates accepted rows, duplicates and exceptions; the other shows added, removed and changed records between exports. All 11 automated tests passed. The examples use synthetic data and AI-assisted development, not client work.
I am available for narrowly scoped CSV cleanup and export-comparison projects. Send the column names, approximate row count and desired output, with a synthetic or redacted sample. We can agree the checks, fixed scope and quote before work begins.
Incomplete records make it harder to find the right people. Datalier turns scattered account data into clear insights, helping go to market teams focus on the right conversations.
Sales Data Cleaning & Analysis — Personal Portfolio Project
Cleaned and organized a sample sales dataset, standardized inconsistent data, and analyzed sales performance to identify trends, top-performing products, and actionable business insights. Built this project using Excel, Python (Pandas), and data analysis techniques.