LinkedIn data analysis competition.

I took part in a data analysis competition posted on LinkedIn. The challenge was to identify the top three products and the top two regions by sales, and deliver visuals that actually support a decision.

The data came as an Excel file and needed real cleaning before any analysis could happen, so that's where I started. I used Python for data preparation and processing, then moved to Power BI to build the final dashboard.

My approach ran in four steps.

Data preparation: cleaned the file and handled missing values and duplicates in Python.

Exploration: studied the numbers and understood how they were distributed before drawing any conclusions.

Structured output: built a clean, well-organized file ready to connect to Power BI.

Dashboard: built it in Power BI, choosing the layout and visuals that answered the question most clearly.