2. Machine Learning Models & Analytics - RogerThattt/Data-Flywheel GitHub Wiki

Once the raw data is ingested into a modern data platform (e.g., via Delta Lake or BigQuery with streaming and batch pipelines), you can extract meaningful features and train models:

Network optimization: ML models detect anomalies or predict failures before they impact users (e.g., proactive tower maintenance).

Churn prediction: Identify at-risk customers early and trigger retention offers.

Dynamic pricing or bundling: Personalize offers based on usage and behavior.

Fraud detection: Identify suspicious SIM swaps, spoofing, or unregistered devices in real time.

These models drive automation and smarter decision-making.