Data Science
Sporveien Sick Leave Cost Analysis
Data Scientist & Analyst
Full analysis suite covering Sporveien sick-leave data: includes Jupyter dashboards, Plotly web app, CLI scripts, and Matplotlib widgets for stakeholder exploration.
View live project ↗Challenge
Leadership needed a transparent way to understand how sick leave impacts operating expenses and what reduction targets could unlock.
Approach
Built a Python toolkit with notebooks, dashboards, and CLI scripts that ingest finance data, calculate cost deltas, and visualise scenarios.
Outcome
Delivered interactive tools that expose cost sensitivities and support prioritised wellbeing initiatives across the organisation.
Highlights
- Packaged analysis into reusable CLI and dashboards
- Modelled direct costs and savings scenarios up to 3pp reduction
- Documented setup with Makefile automation and pyproject packaging