About this portfolio
I am building practical examples that combine FP&A, finance transformation, management reporting and emerging AI tooling. The focus is not on AI for its own sake, but on controlled, reviewable finance workflows that reduce manual effort, improve insight quality and support better decision-making.
Examples use synthetic demonstration data or publicly available company reporting data, as identified in each case study.
Prototype examples
Cost centre expense YoY analysis
Interactive FP&A dashboard and case study covering the finance problem, end-to-end process, RACI ownership, controls, assumptions, limitations and route from prototype to practical implementation.
Dashboarding Process Excellence AI-assisted development
Explore case study →Beyond the weighted pipeline
A sales pipeline forecasting prototype exploring how dependable a quarterly revenue forecast is. Python analysis combines probability weighted forecasts, Monte Carlo scenarios, delivery slippage and FX sensitivity, with an interactive dashboard highlighting deal dependencies and management priorities.
Python analytics Forecast risk AI-assisted development
Working prototype · October 2026 · Course assessment: 5/5, Mastery
Explore case study →Forecasting Spotify's year-end audience
An independent forecasting prototype using Spotify's public quarterly reports. Compare six forecasting approaches, inspect historical test results and explore the December 2026 outlook for Premium subscribers and Ad-supported users.
Time-series forecasting Model evaluation Public reporting data
Working prototype · October 2026 · Course assessment: 5/5, Strong Pass (Proficiency)
Explore case study →