You will get Python Data Cleaning Expert Pandas (CSV/Excel/Spreadsheets)
Project details
Our data cleaning project ensures accurate and reliable data by addressing issues like duplicates, inconsistencies, inaccuracies, and outliers removing, formating columns, re-arrange, grouping, merging multiple files, and splitting data into groups if required.
We deliver pristine data, ready for analysis and decision-making.
We deliver pristine data, ready for analysis and decision-making.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$29
|
Standard
$49
|
Advanced
$99
|
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 3 days |
Number of Revisions | 1 | 2 | 5 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$9 - $25About Kamlesh
Data Processing & Report Automation
Bengaluru, India - 5:06 am local time
I am a Data Automation & Analytics professional with hands-on experience in Excel automation, Python (Pandas), SQL, dashboards, and reporting systems. My focus is not just analysis, but building repeatable systems that remove manual effort.
What I Specialize In:
Excel & Google Sheets automation (large files, trackers, MIS reports)
Python-based data cleaning, merging, and transformation
API / CSV / Excel data processing
Automated dashboards & reporting
Handling very large datasets (lakhs+ rows)
PDF / structured data extraction
Business-friendly reports (clear, accurate, decision-ready)
Why Clients Work With Me:
I understand business logic, not just tools
Clean, structured, error-free output
Automation-focused (not one-time manual work)
Honest communication & on-time delivery
Solutions that keep working even after the project ends
I’ve worked on data reporting, analytics automation, operational dashboards, and large-scale Excel systems.
If you’re looking for someone who can replace manual work with smart automation, I’m the right fit.
Steps for completing your project
After purchasing the project, send requirements so Kamlesh can start the project.
Delivery time starts when Kamlesh receives requirements from you.
Kamlesh works on your project following the steps below.
Revisions may occur after the delivery date.
Data Assessment:
Examine the data to understand its structure, quality, and potential issues, such as duplicates, missing values, inconsistencies, and inaccuracies.
Data Cleaning Plan:
Create a data cleaning plan that outlines the specific tasks and processes required to address the identified issues. This plan should also define the criteria for data validation and accuracy.