Browse categories
Explore
Fiverr Pro
English
$
USD
I will excel data cleaning, formatting, data analysis python, analysis, reporting
Data analyst and scientist
I am a Data Analyst and Data Scientist who helps businesses turn raw data into clear, actionable insights. I specialize in data cleaning, analysis, visualisation, and basic predictive modelling using ...
About this Gig
Need accurate, structured data ready for decisions?
You're in the right place.
I deliver professional Excel data cleaning, data correction,
deduplication, data formatting, Python data analysis &
reporting, transforming messy datasets into clean,
analysis-ready outputs fast.
WHAT YOU GET:
Excel data cleaning & error correction
Data deduplication & duplicate removal
Data formatting & structural standardization
Python data analysis using Pandas & NumPy
Excel data analysis with formulas & pivot tables
Summary & full analytical reporting
PERFECT FOR:
Businesses with messy CRM or sales data
Analysts preparing datasets for reporting
Researchers cleaning survey or field data
Finance, HR, marketing & operations teams
WHY CHOOSE ME:
Clean, accurate & delivery-ready output
Python & Excel powered fast & scalable
Handles large, complex & multi-sheet files
Clear documentation with every delivery
All packages include correction,
deduplication, formatting & revisions.
Let's clean your data the right way.
MESSAGE ME before ordering let's scope your project!
FAQ
What types of data cleaning do you perform?
I handle duplicate removal, blank cell filling, inconsistent formatting fixes, date standardization, text case correction, whitespace removal, error flagging and structural reorganization across your entire dataset.
What file formats do you accept?
I accept Excel files in XLS and XLSX format, CSV files and Google Sheets. If your data is in another format such as JSON or SQL export, message me first and I will confirm compatibility before you order.
How do you define one "item cleaned"?
One item equals one row or record in your dataset. For example, a spreadsheet with 200 rows of customer data equals 200 items cleaned regardless of how many columns each row contains.
Do you use Python or Excel for the analysis?
I use both depending on your package and data size. Excel is used for pivot tables, formulas and summary dashboards. Python with Pandas and NumPy is used for deeper analysis, automation and larger datasets.
What is included in the analytical report?
The report covers a summary of data issues found and fixed, key statistical insights, trends identified in the cleaned dataset, charts and a written interpretation of results — delivered in PDF or Excel format.
