You will get excel data cleaning and data validation services

Let a pro handle the details

Buy Data Entry & Cleaning services from Sunday, priced and ready to go.

Let a pro handle the details

Buy Data Entry & Cleaning services from Sunday, priced and ready to go.

Project details

Get a clean, validated, and analysis-ready dataset delivered with accuracy and attention to detail. I will review your data, identify inconsistencies, remove duplicates, assess missing values, and apply quality checks to improve reliability and usability.

My approach goes beyond basic formatting by focusing on data quality, organization, and validation to ensure your dataset is ready for reporting, analysis, dashboard development, or decision-making.

With a background in Pharmacology and Clinical & Drug Data Analytics, I have experience building clinical data management projects including adverse event trackers, query management systems, and data quality monitoring tools.

What you can expect:

✔ Data cleaning and organization
✔ Duplicate and inconsistency checks
✔ Missing data identification
✔ Excel data validation
✔ Analysis-ready datasets
✔ Timely delivery and communication
Data Tool
Microsoft Excel
What's included
Service Tiers Starter
$15
Standard
$35
Advanced
$60
Delivery Time 2 days 3 days 5 days
Number of Revisions
123
Number of Pages Mined/Scraped
135
Number of Sources Mined/Scraped
135

Frequently asked questions

Sunday F.Status: Offline
Sunday F.Status: Offline
Clinical Data Analyst | GCP Certified | Pharmacology Bsc.
Surulere, Nigeria - 3:04 am local time
You have clinical trial data. But between messy CRFs, flagged adverse events, mounting queries, and tight regulatory timelines, what you really need is someone who can clean it, validate it, and turn it into something your monitors and sponsors can trust.

That's exactly what I do.
I'm a Clinical Data Analyst (CDA) with a B.Sc. in Pharmacology and GCP certification. I don't just understand data, I understand clinical data. The kind that lives inside EDC systems, adverse event logs, and protocol deviations. The kind where one logical inconsistency can trigger a major finding at audit.

↳ The Problems I Solve:
Most clinical research clients reach out when they're dealing with:
→ CRF data that hasn't been cleaned or validated against source documents
→ Adverse event logs with missing, inconsistent, or uncodified entries
→ Query backlogs piling up with no clear resolution workflow
→ Datasets that need MedDRA coding or protocol compliance checks
→ Excel trackers that break under real trial data volumes
→ No clear audit trail or data management documentation

↳ What Sets Me Apart:
Most data analysts can clean a spreadsheet. I can clean a dataset and tell you why that discrepancy matters from a pharmacological and regulatory standpoint. That combination , domain knowledge + data skills is rare. And it's what protects your trial data integrity.

Here's what that means practically:

As a Clinical Data Analyst, I:
→ Clean, validate, and reconcile clinical trial datasets against protocol requirements
→ Review CRFs and flag logical vs. clinical inconsistencies
→ Build adverse event trackers and query management logs in Excel and Power BI
→ Perform data extraction and transformation using SQL
→ Create dashboards that give study teams real-time visibility into data quality metrics
→ Document data management processes with clear SOPs and audit-ready trails

↳ My Complete Service Offering

Clinical Data Management:
✓ CRF review and data validation
✓ Adverse event log building and AE reconciliation
✓ Query generation, tracking, and resolution support
✓ Protocol deviation documentation
✓ Data cleaning and transformation for clinical datasets
✓ MedDRA and medical terminology review support

Data Analysis & Reporting:
• Exploratory data analysis on trial and safety data
• KPI and enrollment tracking dashboards
• Power BI and Excel dashboards for study oversight
• Data visualization tailored to clinical/regulatory audiences
• Patient-level and aggregate safety summaries

Documentation & Process Support:
• Data management SOPs and process guides
• Query management workflow documentation
• Adverse event reporting templates
• Data glossaries and training reference materials

↳ Tools & Technologies:
→ Microsoft Excel (advanced formulas, PivotTables, Power Query, dynamic dashboards, validation rules)
→ SQL (data extraction, joins, filtering, database queries)
→ Power BI (interactive dashboards, KPI tracking, data modeling)
→ Tableau (data visualization and reporting)
→ LibreOffice Calc

↳ Who I Work Best With:
✓ CROs and clinical research sites needing data management support
✓ Biotech and pharma sponsors with small or growing data teams
✓ Study coordinators managing adverse event or query workflows
✓ Clinical operations teams that need cleaner data before monitoring visits
✓ Anyone who needs clinical data they can actually stand behind at audit

Let's talk about how I can support your trial data from raw entries to audit-ready records.
I'm a DM away.

Steps for completing your project

After purchasing the project, send requirements so Sunday can start the project.

Delivery time starts when Sunday receives requirements from you.

Sunday works on your project following the steps below.

Revisions may occur after the delivery date.

Dataset Review

I will review the dataset, identify data quality issues, and confirm the scope of work.

Data Cleaning and Validation

I will clean, organize, and validate the dataset by addressing missing values, duplicates, inconsistencies, and formatting issues.

Review the work, release payment, and leave feedback to Sunday.