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Python data cleanup & reporting

Transform repeatable data preparation into a tested script and useful business output.

Completed projects

Select a project to view its workflow and result.

Completed projectCustom / 01
▣Claims File Processor—□×
WORKSPACE

A folder run processes every approved file at once.

Run process
▤42 files processedDrop a folder here or choose filesReady to begin
•18,906 rows readQueued!63 issues flaggedQueued•Reports createdQueued

Benefits services team

Claims File Processor

Prepared recurring claim files and produced a clear exception report.
Completed projectCustom / 02
FLOW / Survey Results BuilderWatching for workRunning
01TRIGGERNew request arrivesReceived
→
02ORGANIZEResponses combinedRules passed
→
03DELIVEROpen answers groupedWaiting
Latest run17 reports createdPreparing result

Research team

Survey Results Builder

Combined survey exports and created consistent team reports.
Completed projectPremium / 03
Field research teamProject preview
Overview

The release screen checks data quality before publishing.

Current resultReady to publish
01Sources matchedComplete02QA completeComplete0312 outputs preparedComplete

Field research team

Reporting Review Workspace

Made a complex monthly reporting process simple to run and review.
Result

Reproducible cleanup, validation, and report generation with readable documentation.

What’s included

01

Data pipeline

02

Validation checks

03

Reports and run guide

Important limits

Source access, schema, and output definitions are agreed before implementation.

Project inquiry

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