Martin Sajeeb
Data Analyst | BI Developer | AI Automation | Python
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FoodPanda Customer Review Data Analysis
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Telecom Customer Churn & Retention Analysis
Description:
This project involved analyzing a dataset of 7,043 customers to identify key drivers of churn and develop actionable retention strategies. I built an end-to-end Power BI dashboard that transforms raw service data into high-level business intelligence.
Key Features & Insights:
Churn Risk Identification: Developed DAX measures to track 1,869 "Risk Customers," revealing that 26.54% of the user base was at risk of leaving.
Service Impact Analysis: Identified that customers without Online Security had a significantly higher churn rate (31.3%) compared to other segments.
Behavioral Segmentation: Analyzed churn by contract type and payment method, finding that senior citizens showed a 48.3% early-leaving rate.
Technical Stack: Utilized PostgreSQL for data querying and Power BI for advanced data modeling, DAX calculations, and interactive visualization.
Business Impact:
By identifying high-churn segments (like those without tech support or security services), this dashboard allows telecom managers to target specific groups with retention offers, potentially saving a portion of the $16.1M in total charges at risk.
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š Power BI Dashboard for Clear Business Insights
Many businesses have data but struggle to understand it.
In this video, Iām showing how I turn raw and messy data into a clean, interactive Power BI dashboard with clear KPIs and insights.
I help with:
ā¢ Data cleaning (Excel / SQL)
ā¢ Data analysis
ā¢ Power BI dashboard development
ā¢ KPI tracking and reporting
My goal is simple ā make your data easy to understand and useful for decision-making.
If you need help with data cleaning or building a Power BI dashboard, feel free to message me.
#PowerBI #DataAnalytics #Excel #SQL #Dashboard #DataCleaning
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