You will get a clean and usable version of your dirty dataset.

Muhammadh A.Status: Offline
Muhammadh A.

Let a pro handle the details

Buy Data Entry & Cleaning services from Muhammadh, priced and ready to go.
Muhammadh A.Status: Offline
Muhammadh A.

Let a pro handle the details

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

Project details

As a dedicated data professional, I provide comprehensive data cleaning and preparation services to ensure your data is accurate, consistent, and ready for analysis. My expertise in handling various datasets allows me to transform raw data into valuable insights, making it easier for you to make informed business decisions.
Data Tool
Microsoft Excel
What's included
Service Tiers Starter
$14
Standard
$30
Advanced
$70
Delivery Time 1 day 3 days 4 days
Number of Revisions
123

Frequently asked questions

Muhammadh A.Status: Offline

About Muhammadh

Muhammadh A.Status: Offline
Data cleaning professional
Mutur, Sri Lanka - 7:28 pm local time
I’m a detail-oriented and proactive data enthusiast with a strong background in mathematics, statistics, and computer science. I’m skilled at using data cleaning tools like Python (with Pandas and NumPy), Excel, SQL, and OpenRefine to ensure data is accurate and insightful.
My goal is to help you with cleaning your dirty / uncleaned data(Spreadsheets , CSV files, Google sheets and SPSS .sav files , etc...).

1. Handling Missing Data
2. Removing Duplicates
3. Standardizing Data Formats
4. Correcting Data Errors
5. Transforming Data
6. Cleaning Text Data
7. Handling Outliers
8.Data visualization

Steps for completing your project

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

Delivery time starts when Muhammadh receives requirements from you.

Muhammadh works on your project following the steps below.

Revisions may occur after the delivery date.

Understand the Data

Conduct an initial examination to understand the structure and content of the data.

Handle Missing Values

Locating where data is missing or incomplete and Choosing how to handle missing values (e.g., imputation, removal, or flagging).

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