Messy Data. Clear Decisions. by Paul RodriguezMessy Data. Clear Decisions. by Paul Rodriguez

Messy Data. Clear Decisions.

Paul Rodriguez

Paul Rodriguez

Messy Data. Clear Decisions. THE BRIEF Turn an inconsistent invoice export into a useful management report while keeping every source row traceable. THE WORK Standardized service and status labels, converted valid currency strings, checked required fields and dates, and separated duplicate or invalid records for review. THE RESULT 25 source rows reconciled into 20 accepted invoices and 5 exceptions. Accepted invoice value: $9,625. Unpaid invoice value: $2,125. These are sample invoice totals, not cash collected or client performance results. DELIVERABLES Editable Excel workbook with a formula-driven summary dashboard, original CSV, cleaned CSV, and exception log. Raw inputs and review items remain separate from accepted records. EXPLORE THE WORK https://paul-rodriguez-portfolio.vercel.app/assets/service-kit/index.html#reporting Self-initiated portfolio project using synthetic business data. AI-assisted production with source and calculation checks.
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Posted Sep 11, 2026

Cleaned and reconciled 25 invoice rows into an editable dashboard, clean CSV, and exception log. Synthetic data; AI-assisted production.