Case study / Business intelligence

From portfolio data to better decisions.

A profitability analysis and Power BI dashboard project across brands, regions, and sales channels.

Records analyzed · 14 columns
190,740
Brands / regions / sales channels
10 / 5 / 4
Observed fill rate
90.82%

The work

I analyzed an FMCG portfolio dataset and built Power BI dashboards to explore performance across 10 brands, 5 regions, and 4 sales channels. The analysis focused on promotion and stock-allocation opportunities that could support profitability.

Decision signals

The project reported a 90.82% fill rate and a 25.73% sell-through rate. These measures informed recommendations for promotion and stock allocation.

These figures describe the analyzed project dataset. Recommendations are not measured improvements or live business results.

Explore the project

The source project is available on GitHub, including the work behind the supply-chain and portfolio analysis.

View on GitHub All projects

Let’s connect

Building something interesting?

I’m open to AI engineering opportunities, research collaborations, and challenging technical problems.