A collection of data projects spanning analysis, dashboarding, and engineering β built with SQL, Python, Excel, and Power BI, with data engineering projects being added as they're built. Each project folder includes the queries/code used, as well as a write-up of the approach and findings.
| Project | Tools | Description |
|---|---|---|
| Done | Excel | Used In-browser tools |
| Retail Sales & Customer Analysis | SQL | Analyzed a retail database to identify restocking priorities, segment VIP vs. least-engaged customers by profit, and calculate customer lifetime value to guide acquisition spend. |
| Coming soon | Python | |
| Coming soon | Power BI | |
| Coming soon | Data Engineering |
Work in progress β new projects added as they're completed.