Data Cleaning, Modeling & Dashboards

I have a sizeable MySQL database that needs to be turned into clear, decision-ready insights. The work begins with pulling the raw tables, writing efficient SQL queries, and cleaning or restructuring the data where necessary. Once the dataset is reliable, I’d like you to run deeper statistical analyses in Python (or Excel where it makes sense) to surface patterns, trends, and any significant correlations. The final step is to convert those findings into intuitive visuals and interactive reports in Power BI so my non-technical stakeholders can drill down by date, segment, and KPI without ever touching the underlying code. Deliverables I expect: • A cleaned, well-documented dataset (or SQL scripts) ready for downstream use • A concise statistical analysis report with key metrics, methodology notes, and interpretation of results • A Power BI dashboard published to our workspace, complete with filters, tooltips, and clear labeling If you are comfortable moving seamlessly between SQL, Python, Excel, and Power BI to cover this full pipeline, I’d be happy to discuss timelines and any other details you need to get started.