Joel Symonds
Data Cleanup, Reconciliation & Operations Support
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This portfolio sample shows the final client-ready deliverables from a fictional business-data cleanup and reconciliation project. The completed package included a cleaned customer master file, validated work-order data, a review list for unresolved issues, a summary of the work completed, and an audit record. Ambiguous values were not guessed, and source files were preserved so the client could review the results safely.
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This portfolio sample demonstrates a messy business-data cleanup and reconciliation workflow using fictional records. Multiple source files contained duplicate customers, inconsistent formatting, missing values, conflicting information, and duplicate work orders.
I consolidated the records, standardized formatting, removed verified duplicates, preserved uncertain values, and flagged conflicts for review instead of guessing. The final output included clean customer and work-order datasets plus an audit summary and review list.
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This portfolio sample focuses on the quality-control side of data cleanup. Conflicting records were flagged for review, missing values were preserved rather than invented, and source files were left unchanged. The goal was to produce clean, usable data while keeping uncertain information visible for human review.
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Before-and-after view showing inconsistent spreadsheet data transformed into clean, standardized records.
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