Employee churn prediction on Google Cloud
Anticipate which employees of an engineering consultancy are at risk of leaving, using 24 months of HR records and Slack messages.
Outcome: A reproducible GCP pipeline that processes new data with no manual step, with a retention dashboard in Looker Studio and an interpretable model on Vertex AI.
My role: Ingestion of external labour-market sources, bronze-layer normalisation, retention KPI catalogue and the gold views feeding the dashboard.



