I need support turning several raw transactional and user-behaviour datasets into clear, decision-ready insights for an upcoming strategy review. The work is fully freelance and centers on data analysis, so skills in Python (pandas, NumPy, scikit-learn), R, SQL, or a comparable stack are essential. Expect to begin with cleaning and normalising PostgreSQL and CSV data, move on to exploratory and statistical analysis, and finish with a concise report and visualisations that non-technical stakeholders can understand. A lightweight Power BI or Tableau dashboard would be an appreciated bonus if it helps stakeholders drill deeper on their own. Deliverables • Re-run-able, well-annotated scripts or notebooks • A short methodology note explaining assumptions and modelling choices • A slide deck or PDF summarising key findings and visuals • (Optional) An interactive dashboard Acceptance criteria • All code executes end-to-end without modification on my side • Visuals match figures generated by the code • Insights directly address the business questions we confirm in our kickoff call The engagement can span up to two weeks, but I’d like to see an initial sample of your approach within four days so we can be sure we’re aligned. If this sounds like a fit, let me know what similar projects you’ve tackled and which tools you prefer; I’m ready to share sample data and kick things off right away.