• Familiar tooling: Python with pandas/NumPy, or R tidyverse is fine, as long as the code is clear a

[OQZARO Data Cleaning & Analysis Platform](https://freelancer.com/projects/data-analysis/oqzaro-data-cleaning-analysis-platform.html) I’m building a platform called OQZARO that will take raw business datasets—primarily tables and spreadsheets, with the odd mixed-type record—and turn them into clean, analysis-ready information in a single pass. The core need is a robust workflow that automates data cleaning (missing-value handling, type standardisation, outlier detection) and then runs the first layer of analysis so users can jump straight to insight instead of wrangling CSVs. Here’s what matters most to me: • End-to-end process: ingest, clean, analyse, export. • Accuracy and reproducibility: every step logged and repeatable. • Familiar tooling: Python with pandas/NumPy, or R tidy...