Shopping Trends Analysis — SQL, Python & Power BI Analyzed customer shopping data to uncover purc...

Shopping Trends Analysis — SQL, Python & Power BI Analyzed customer shopping data to uncover purc...Shopping Trends Analysis — SQL, Python & Power BI Analyzed customer shopping data to uncover purc...

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Ali Khaled

• Aug 17

Shopping Trends Analysis — SQL, Python & Power BI

Analyzed customer shopping data to uncover purchasing patterns, customer segments, and key business trends. Used SQL for data extraction, Python for exploratory and statistical analysis, and Power BI to build an interactive dashboard that turns the findings into clear, actionable business insights.

Python Data Analysis Microsoft Power BI SQL

Hazem Khaled

• Aug 17

Here is a professional English translation of your post that captures the exact same message and tone:

Just wrapped up the project, and I realized this is definitely the picture worth sharing the most! 😁

Sometimes people look at the final dashboard and think that’s where all the work happens, but the real magic starts right here... the Data Model.

Behind every single relationship here is a lot of thinking, testing, and tweaking until everything finally clicked into place.

Alhamdulillah, the project is officially complete, and I’ve learned way more from it than I initially expected.

Any feedback is more than welcome! 🙏

#PowerBI #DataAnalytics #PowerBIDeveloper #Portfolio #OpenToWork

Data Analysis Data Visualization Mode Analytics Python Data Modeling

J S

• Aug 18

Hi Sir! It turned out really amazing, and I still remember working on my project for the first time. Keep inspiring! 🙌

Ali Khaled

• Aug 17

Telco Customer Churn Analysis — SQL & Python

Analyzed customer data to identify the key factors associated with churn and understand which customer groups were most likely to leave. Used SQL Server for data extraction and Python for data cleaning, exploratory analysis, segmentation, and visualization, translating the findings into actionable customer-retention insights.