You will get Fast and Accurate Data Entry
Project details
Welcome! I'm a seasoned Data Entry Specialist known for efficiently managing large data volumes. My track record includes adeptly extracting data from various sources, organizing it in spreadsheets/databases, and conducting thorough online research. With a knack for Excel, meticulous attention to detail, and custom-tailored solutions, I guarantee accuracy and efficiency. Let's collaborate to optimize your operations and data management processes for success.
Data Entry Type
Copy Paste, Data Cleansing, Document Conversion, Error Detection, Online ResearchData Entry Tool
Google Docs, Google Sheets, Medical Records Software, Microsoft Excel, Microsoft WordWhat's included
| Service Tiers |
Starter
$20
|
Standard
$40
|
Advanced
$70
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | 1 | 1 | 2 |
Number of Hours of Work | 5 | 7 | 10 |
Formatting & Clean Up | |||
Graph & Table Creation | - | - |
Optional add-ons
You can add these on the next page.
Additional Hour of Work
+$5About Aamna
Professional GIS Analyst
Rawalpindi, Pakistan - 4:34 pm local time
philanthropist individual pursuing a
challenging opportunity to drive a
positive change in the community
along with continuous self-growth and
utilizing my interpersonal skills with
accuracy and efficiency while
maintaining a motivated, productive,
and goal oriented environment for the
entire professional team. Focusing to
serve in the field accepting all
challenging opportunities.
Steps for completing your project
After purchasing the project, send requirements so Aamna can start the project.
Delivery time starts when Aamna receives requirements from you.
Aamna works on your project following the steps below.
Revisions may occur after the delivery date.
Data Extraction and Entry
Expert in extracting data from websites, PDFs, scanned documents, and other sources. Swiftly entering data into spreadsheets, databases, CRM systems, and more. Ensuring accuracy through thorough verification and validation processes.
Data Formatting and Cleanup
Organizing data into a structured format for easy analysis and retrieval. Removing duplicates, correcting formatting errors, and standardizing information. Enhancing data quality by applying consistent naming conventions.