OQZARO Data Cleaning & Analysis Platform -- 2

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 tidyverse is fine, as long as the code is clear and version-controlled. • Clear outputs: summary tables, basic descriptive stats, and a template notebook or script others can extend for deeper predictive or prescriptive work later. Deliverables I expect: 1. Well-commented source code or notebooks that run without manual tweaks. 2. A short README explaining assumptions, libraries, and how to add new data sources. 3. Sample cleaned dataset plus a concise analytical summary (charts or tables). If that sounds straightforward, let’s make OQZARO the place where messy spreadsheets go in and actionable results come out.