You will get a clean, analyzed, and visualized dataset with clear insights.

Project details
You will get a clean, well-organized dataset and clear visualizations that highlight key insights. I specialize in data cleaning, analysis, and visualization, ensuring accuracy and clarity. With experience in Excel, Python, and data visualization tools, I focus on delivering actionable results that help clients make informed decisions. I take care to handle all data responsibly and professionally.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$10
|
Standard
$25
|
Advanced
$50
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Frequently asked questions
1 review
(1)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
NM
Nikola M.
Dec 2, 2025
Analyze marketing campaign data using Python and Excel
Great experience working with Nikola. He delivered a clean and well-structured analysis with clear charts, and even submitted the work ahead of the deadline. Very easy to communicate with.
About Nikola
Data Analyst | Excel & Python | Reporting & Visualization
Budva, Montenegro - 3:51 am local time
What I offer:
- Excel reports with pivot tables and charts
- SQL queries for database analysis
- Python scripts for automation and data cleaning
I specialize in:
→ Sales and business performance analysis
→ Cleaning and organizing messy datasets
→ Creating visual reports that are easy to understand
My approach: I understand your business problem, analyze the data, and deliver actionable insights.
Available for: one-time projects, recurring monthly reports, or contract-to-hire.
Feel free to reach out with questions - I respond quickly!
Steps for completing your project
After purchasing the project, send requirements so Nikola can start the project.
Delivery time starts when Nikola receives requirements from you.
Nikola works on your project following the steps below.
Revisions may occur after the delivery date.
Data collection and review
Check dataset structure and identify any issues
Data cleaning
Remove duplicates, fix missing values, and standardize formats.