An interpretable system that models the future of work as an equilibrium under AI-driven forces. Instead of predicting job loss, it decomposes workforce disruption into automation pressure, adaptability, skill transferability, demand, and AI augmentation to explain stability, tension, and transition paths by 2030.

A Streamlit dashboard that measures skill adaptation debt instead of predicting outcomes. It decomposes pressure into churn, novelty, and breadth to explain which roles/industries are becoming harder to staff. Includes role/industry reports, skill pressure maps, what-if scenario simulation, and a dataset explorer.

Explainable workforce analytics project detecting early attrition risk and simulating retention impact (£1.7m savings scenario).

Unified API gateway for all analytics - Analytics Cluster

The HR Roster Change Detection Pipeline is an automated solution for processing HR roster data. Leveraging Apache Airflow and PostgreSQL, it enables seamless data ingestion, deduplication, and change detection, streamlining HR operations.

🤖 Analyze the future of work with the Workforce Disruption Equilibrium Engine, a system for understanding job changes in an AI-driven world.

Event-driven data pipelines - Analytics Cluster