You will get Emergency Data Cleaning & Validation
Project details
Data emergency? Fast-turnaround data cleaning and validation for urgent business needs.
I specialise in stabilising messy datasets, resolving quality issues, and delivering audit-ready outputs under tight timelines. With 20+ years of experience across regulated and enterprise environments, I focus on accuracy, consistency, and scope control.
What you get:
• Data profiling and quality assessment
• Duplicate detection and removal
• Format standardisation and validation
• Missing data handling and error flagging
• Clean, QC-ready dataset with a summary QC report
Typical turnaround: 24–72 hours depending on dataset size and complexity.
Industries served: Healthcare, clinical research, finance, enterprise systems.
Fixed-price service based on dataset complexity. Remote delivery. No interpretation. Just clean, validated data.
I specialise in stabilising messy datasets, resolving quality issues, and delivering audit-ready outputs under tight timelines. With 20+ years of experience across regulated and enterprise environments, I focus on accuracy, consistency, and scope control.
What you get:
• Data profiling and quality assessment
• Duplicate detection and removal
• Format standardisation and validation
• Missing data handling and error flagging
• Clean, QC-ready dataset with a summary QC report
Typical turnaround: 24–72 hours depending on dataset size and complexity.
Industries served: Healthcare, clinical research, finance, enterprise systems.
Fixed-price service based on dataset complexity. Remote delivery. No interpretation. Just clean, validated data.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$85
|
Standard
$150
|
Advanced
$220
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 3 days |
Number of Revisions | 1 | 2 | 2 |
Frequently asked questions
About Azia
Data & AI Quality Reviewer | Document Finalisation
Johannesburg, South Africa - 2:44 pm local time
My work focuses on accuracy, logical consistency, and strict rubric adherence across high-volume tasks, including reviewing and rating AI-generated responses, validating datasets, identifying errors or ambiguities, and finalising documents to required standards without altering intent or scope.
Reliable in long-form review work, comfortable with precision-driven tasks, and responsive to feedback in quality-controlled environments.
Steps for completing your project
After purchasing the project, send requirements so Azia can start the project.
Delivery time starts when Azia receives requirements from you.
Azia works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and scope confirmation
Review the dataset to confirm file type, size, fields, known issues, and validation rules. Scope and turnaround are confirmed before work begins.
Data cleaning, validation, and delivery
Clean and validate the data per the agreed scope. Remove duplicates, correct formats, flag issues, and deliver a QC-ready dataset with brief notes if required.