ProjectsHover a project to open it.

Selected work,2022 — now.

P / 01Dashboard · 2026
  • What the problem was and who it was for.
  • How you built it: data sources, modelling, the dashboard itself.
  • The outcome, ideally with a number.
  • One thing you would do differently next time.
TableauSQL ServerPython
P / 02Machine learning · 2025
  • What the problem was and who it was for.
  • How you built it: data sources, modelling, the dashboard itself.
  • The outcome, ideally with a number.
  • One thing you would do differently next time.
Pythonpandasscikit-learn
P / 03Data pipeline · 2025
  • What the problem was and who it was for.
  • How you built it: data sources, modelling, the dashboard itself.
  • The outcome, ideally with a number.
  • One thing you would do differently next time.
GCPPostgreSQLAirflow
P / 04Analysis · 2024
  • What the problem was and who it was for.
  • How you built it: data sources, modelling, the dashboard itself.
  • The outcome, ideally with a number.
  • One thing you would do differently next time.
PythonNumPyMatplotlib
P / 05Dashboard · 2024
  • What the problem was and who it was for.
  • How you built it: data sources, modelling, the dashboard itself.
  • The outcome, ideally with a number.
  • One thing you would do differently next time.
SupersetMongoDB