Duplicates, missing values, inconsistent formats and files that will not load cleanly waste hours before any analysis starts. We profile your data, clean and standardize it, validate the result and document every change — so you get a clean dataset, a reusable cleaning script and a data quality report.
Is this your problem?
Your CSV, Excel or JSON files are full of duplicates and missing values.
Dates, currencies, names and categories are written in different formats.
Files fail to load, or columns shift when you open them.
You need the data ready for analysis, reporting or machine learning — and you need it soon.
Why this happens
Messy data is normal. It comes from manual data entry, exports from different systems, merged spreadsheets with different conventions, and tools that quietly change encodings, delimiters and date formats. Cleaning it by hand is slow and error-prone, and the same mistakes return the next time new data arrives.
What we do
Profile the data — types, missing values, duplicates and outliers.
Clean and standardise formats, categories, dates and text.
Handle missing values and duplicates using rules you approve.
Validate the result against your expectations.
Document every change in a short data quality report.
What you get
Clean dataset in CSV, Excel, JSON or Parquet
Reusable cleaning script (Python/pandas) for future data
Data quality report listing what was found and fixed
What we need from you
Your dataset files
A short note on what the data will be used for
Common cases we handle
Survey, CRM, sales and e-commerce product data
Exports from ERP, accounting and marketing tools
Research datasets before statistical analysis
Data being prepared for dashboards or machine learning
Pricing and turnaround
Starting price | From $49 |
Delivery | Typically 24h |
Priority delivery | 12h for +50% |
Includes | Scope check, the work, deliverables and handover notes |
Every task gets a fixed price, confirmed after the free scope check. Your code and data are used only for this task, and we sign an NDA on request.
How it works
Submit your task. Tell us what you need and share the files or access listed above.
Free 30-minute scope check. An engineer confirms the scope and gives you a fixed price before any work starts.
We do the work. Your task is handled by Codersarts' own engineering team — not a freelancer marketplace.
Delivery and handover. You get the deliverables, a walkthrough of what changed, and time to ask questions.
Related tasks
Prepare Dataset for ML — to make the clean data ready for model training.
PDF & Invoice to Structured Data — if your data is locked inside PDFs or invoices.
Train a Model on Your Data — to build a predictive model on the clean data.
Need more than a single task?
For an automated data pipeline or a larger data project, see Codersarts Build Solutions.
FAQ
How much does data cleaning cost?
From $49 for a Standard Task. The fixed price is confirmed after a free 30-minute scope check, based on data size and complexity.
How fast will it be done?
Typically 24 hours. Priority 12-hour delivery is available for +50%.
Can I reuse the cleaning for new data?
Yes. You get the Python script, so the same cleaning can run on future files.
What file formats do you accept?
CSV, Excel, JSON, Parquet, SQL exports and most other tabular formats.
Is my data confidential?
Yes. Your data is used only for this task, and we sign an NDA on request.
Prefer to learn it yourself? Explore hands-on courses at Codersarts Labs.