You will get Data Analysis: Customers Segmentation


Project details
I analyzed customer data to segment clients into meaningful groups based on behavior and demographics. Using K-Means clustering, I identified key profiles to help businesses tailor marketing strategies and increase sales. The project covered data cleaning, feature engineering, EDA, and an interactive Power BI dashboard. Tools: Python, SQL, Power BI. This shows my ability to turn raw data into actionable insights for better targeting, loyalty, and decision-making
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$15
|
Standard
$20
|
Advanced
$30
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Pages Mined/Scraped | 1 | 2 | 2 |
Number of Sources Mined/Scraped | 1 | 1 | 2 |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $35
Additional Page Mined/Scraped
(+ 2 Days)
+$2
Additional Source Mined/Scraped
(+ 1 Day)
+$2
Additional Revision
+$2About Cedrick
Data Analyst
Kigali, Rwanda - 5:38 am local time
Adept at collaborating with cross-functional teams to define KPIs, develop dashboards, and implement data solutions that align with organizational objectives. Strong communication skills to translate technical findings into clear, concise recommendations for stakeholders. Committed to continuous learning and leveraging data to optimize processes and foster innovation.
Key competencies include:
- Data Mining and Cleaning
- Business Intelligence and Reporting
- Descriptive Analytics
- Data Visualization and Storytelling
- SQL Database Management
Steps for completing your project
After purchasing the project, send requirements so Cedrick can start the project.
Delivery time starts when Cedrick receives requirements from you.
Cedrick works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1
Identify the keys column for the segmentation
Step 2
Make the Segmentation using K-Means clustering with PYTHON (Pandas, Scitik-learn)





