A data analysis project exploring revenue loss and operational risk in a tutoring business using Python, SQL and Power BI.

A data analysis project exploring how discount levels influence profitability using Python and a Power BI dashboard to identify an optimal discount strategy.

This project explores how clear, practical MI reporting can support day-to-day operational decisions by making workload, backlog and service performance easier to understand.

A good Power BI dashboard isn’t about showing everything - it’s about highlighting what matters and supporting clear, confident decisions.

Why I worked on this project Sales data is everywhere. Revenue charts look great in presentations. But one question kept coming back while I was learning and working with commercial data: Does high sales actually mean good performance? In many businesses, revenue becomes the main success metric - often without fully understanding what sits underneath.. This project was my way of stepping back and asking a more uncomfortable, but far more useful question: Where does profit rea

The more I worked with customer data, the clearer it became that the “average customer” rarely exists. This project focuses on understanding real shopping behaviours - not just summary metrics.

E-commerce data can look impressive at first glance - until you step back and ask where revenue really comes from. In this project, I explored sales concentration, seasonality, and customer contribution to understand what truly drives online revenue.