✅ The client required personalized marketing strategies based on customer behavior and transaction patterns.

✅ Designed and deployed a segmentation pipeline using Kubeflow to process platform logs and transactions.

✅ Retrieved and processed data from BigQuery, creating behavioral segments and writing them back to a new table.

✅ Automated the segmentation process with Cloud Scheduler for regular updates.

✅ Impact: Improved targeted marketing effectiveness by 25% and reduced manual segmentation effort by 80%.