You will get a cleaned and organized excel or CSV data
Project details
Messy data makes analysis frustrating and unreliable.
I help turn raw, unorganized Excel or CSV files into clean, structured, and analysis-ready data you can actually trust.
What I can help you with:
• Remove duplicates and errors
• Fix inconsistent formats (dates, numbers, text)
• Handle missing or empty values
• Standardize categories and labels
• Organize columns and structure
• Make your data clean and easy to use
My workflow:
• Review your data and requirements
• Clean and validate the dataset using a clear checklist
• Double-check for consistency and accuracy
• Deliver a clean file + short summary
What you'll get:
• Clean & structured Excel / CSV file
• Data ready for analysis, reporting, or upload
• Documentation on what's changed
• Clear communication & on-time delivery
Not sure which package fits your data?
Send me a message Ill help you choose the right one.
I help turn raw, unorganized Excel or CSV files into clean, structured, and analysis-ready data you can actually trust.
What I can help you with:
• Remove duplicates and errors
• Fix inconsistent formats (dates, numbers, text)
• Handle missing or empty values
• Standardize categories and labels
• Organize columns and structure
• Make your data clean and easy to use
My workflow:
• Review your data and requirements
• Clean and validate the dataset using a clear checklist
• Double-check for consistency and accuracy
• Deliver a clean file + short summary
What you'll get:
• Clean & structured Excel / CSV file
• Data ready for analysis, reporting, or upload
• Documentation on what's changed
• Clear communication & on-time delivery
Not sure which package fits your data?
Send me a message Ill help you choose the right one.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$35
|
Advanced
$60
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 4 days |
Number of Revisions | Unlimited | Unlimited | Unlimited |
Frequently asked questions
About Olivia Dita
Data Cleaning & Preprocessing Specialist
Jakarta, Indonesia - 1:12 am local time
With a Bachelor’s degree in Mathematics, I bring strong analytical thinking and a deep understanding of data structures. I pay close attention to detail and follow a clear, structured workflow to ensure that every dataset is clean, consistent, and trustworthy.
My strengths include:
- Detecting and fixing missing values, duplicates, and inconsistencies
- Cleaning messy real-world datasets (encoding issues, mixed formats, typos, irregular values)
- Standardizing and restructuring datasets for analysis or machine learning
- Building clear and reproducible cleaning workflows
I work with a structured checklist-based process to ensure nothing is overlooked. This approach allows me to deliver high-quality results consistently, even when dealing with complex or messy data.
Example tasks I can help with:
- Data cleaning and preprocessing using Python (Pandas)
- Handling messy CSV/ Excel datasets
- Fixing encoding issues, delimiters, and formatting problems
- Standardizing categorical data (countries, names, labels, etc.)
- Preparing datasets for analysis, dashboards, or machine learning
I also document my work clearly so that the cleaning process is transparent and easy to understand.
If you have messy data and need it clean, structured, and analysis-ready, I’d be happy to help.
Steps for completing your project
After purchasing the project, send requirements so Olivia Dita can start the project.
Delivery time starts when Olivia Dita receives requirements from you.
Olivia Dita works on your project following the steps below.
Revisions may occur after the delivery date.
Data Intake & Review
Receive the dataset from the client and perform an initial inspection to understand its structure, size, and common issues (missing values, duplicates, inconsistent formats).
Assessment & Cleaning Plan
Identify key problems in the dataset and outline the cleaning approach.