You will get a statistical data cleaning and analysis


Project details
Support clients with precise data entry, delivering clean, analysis-ready datasets and meaningful statistical outputs that drive better decisions.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$120
|
Standard
$300
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Number of Sources Mined/Scraped | 500 | 1000 | 5000 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $100
Additional Revision
+$20
Additional Source Mined/Scraped
(+ 1 Day)
+$5About Enas
MEAL Consultant | Monitoring, Evaluation, Accountibility, and Learning
Sanaa, Yemen - 9:38 am local time
My core expertise covers the full MEAL cycle:
1. Data Management & Analysis: Designing surveys, data cleaning, processing, and advanced statistical analysis using SPSS, MiniTab, and Excel.
2. Digital Data Collection: Expert-level proficiency in setting up, managing, and training teams on digital data collection platforms, particularly KoboToolbox and ODK.
3. Reporting & Assessments: Conducting needs assessments, baselines, endlines, Post-Distribution Monitoring (PDM), and generating high-quality, donor-ready final reports and statistical assessments.
4. Accountability & Learning: Implementing robust Feedback and Response Mechanisms (FRM) and ensuring compliance with standards like PSEA and Child Safeguarding.
In previous roles, I have successfully managed large-scale data entry and processing operations, contributed to the development of statistical reports, and implemented data tracking systems that improved the efficiency and accuracy of program monitoring. I am highly proficient in ensuring data quality and confidentiality.
Steps for completing your project
After purchasing the project, send requirements so Enas can start the project.
Delivery time starts when Enas receives requirements from you.
Enas works on your project following the steps below.
Revisions may occur after the delivery date.
Data Entry, review, and analysis.