01
Spreadsheet cleanup & validation
Standardize fields, remove duplicates, detect missing values, and prepare data for reliable use.
Available for asynchronous projects
Reliable spreadsheets.
Clear proof before you hire.
I repair messy Excel, Google Sheets, and CSV workflows—then document the checks so the result is understandable, repeatable, and safe to use.
ExcelGoogle SheetsCSVPythonVBAApps Script
FIRST-PROJECT OFFER
One small spreadsheet problem fixed for $15.
Choose one: clean and standardize one file up to 500 rows, audit up to 10 formulas, or reconcile two small tables. Includes a corrected file, a concise QA note, one revision, and delivery within 48 hours after scope confirmation.
01Diagnose
Identify structural, formula, and data-quality risks.
02Demonstrate
Show a limited proof using synthetic or approved sample data.
03Deliver
Complete the funded scope with files, checks, and handoff notes.
ServicesSmall, objective deliverables.
Small, objective deliverables.
Built for text-only collaboration.
Send the files and acceptance criteria. Receive the completed output plus a concise quality-control summary—without unnecessary meetings.
02
Formula diagnosis & repair
Find inconsistent formulas, broken references, denominator errors, and exception rows.
03
Reconciliation & exception reporting
Compare files, classify matches and mismatches, and produce a review-ready exception report.
04
Recurring report automation
Replace repetitive manual steps with documented Python, VBA, or Apps Script workflows.
Selected work
Demonstrations with inspectable outputs.
Independent portfolio projects created with synthetic data. They demonstrate the process and deliverable structure—not invented client engagements.
Synthetic-data demonstration
Spreadsheet Cleanup & Validation
Standardized fields, duplicate detection, validation flags, and a concise QA summary.
Synthetic-data demonstration
Recurring KPI Reporting
A repeatable transformation from transactional records to a review-ready KPI table.
Synthetic-data demonstration
Multi-File CSV Reconciliation
Deterministic matching, discrepancy classification, and an auditable exception output.
Synthetic-data demonstration
Spreadsheet Formula QA
Row-level formula checks for incorrect references, rates, and profit calculations.
Proof-first proposalsEnough evidence to make a decision.
Enough evidence to make a decision.
Not your whole project for free.
For selected, clearly scoped opportunities, I can prepare a limited preview using public, synthetic, or explicitly approved sample data.
LIMITED
Representative scope
A small sample proves the approach while the full reusable output remains part of the funded engagement.
PRIVATE
Confidential by default
Client data is never published without permission. Sensitive previews use unguessable, non-indexed links.
AUDITABLE
Visible quality controls
Each delivery includes validation notes, exceptions, and a plain-English summary of what changed.