Audit-safe cleanup for PDFs, spreadsheets, market data, and onchain records.
Data Chemist turns messy business files into clean spreadsheets, checked datasets, and useful analysis.
I work on PDFs, scanned tables, images, CSV exports, CRM lists, ecommerce sheets, finance logs, market data, and onchain transaction datasets. The focus is not only making the file look clean. The focus is protecting the raw data, documenting every cleanup step, validating the output, and showing the patterns hiding inside the mess.
Core services:
- PDF, image, Word, CSV, and spreadsheet data cleanup
- Excel / Google Sheets formatting, formulas, pivots, summaries, and reports
- Duplicate removal, category cleanup, missing-value checks, and validation rules
- Before/after change logs so you know exactly what changed
- Trend checks, outlier notes, segmentation, and simple business analysis
- Market, finance, and onchain research datasets where accuracy matters
Why use Data Chemist instead of AI alone? AI can move fast, but messy data needs judgment, structure, QA, and a clean delivery format. I use AI-assisted workflows where useful, then manually review the output so you receive files you can trust and reuse.
Work Terms
Send the source files, target format, deadline, and any cleanup rules that must not be changed.
Typical outputs: Excel, Google Sheets, CSV, PDF summary, or short analysis notes.
Delivery includes the cleaned file plus a concise cleanup note covering changes made, validation checks, and data quality issues found. Raw files stay separate from cleaned files.