I provide carefully scoped spreadsheet cleanup, data entry, data quality review, and public-source research in Microsoft Excel and Google Sheets. Deliverables can include standardized tables, duplicate and missing-value checks, consistent formats, PDF-to-Excel conversion where authorized, source notes, basic summaries, and reproducible validation steps.
My workflow starts by confirming the input, output format, row and column limits, deadline, and acceptance criteria. I use Python-assisted automation when it improves speed and consistency, then perform explicit quality checks so the final workbook remains reviewable. I work only with public, non-sensitive information or data the client is authorized to provide.
Typical deliverables include clean Excel or Google Sheets files, accurate data entry, authorized data conversion, duplicate and format checks, formulas, summaries, pivot tables, light visualization, and public web or competitor research organized in a source-linked sheet.
I do not collect restricted personal data, use systems without written authorization, or expand scope without written approval. If an input or requirement creates a quality or privacy risk, I stop and clarify before proceeding.