• Reduced customer churn by 14% in pilot regions using predictive analytics.
• Eliminated 70% of manual reporting effort through automated pipelines.
• Improved incident detection from 45 minutes to under 5 minutes using event-driven monitoring.
• Strengthened financial and operational planning with scenario-based AI models.
• Identified cost inefficiencies and surfaced insights that improved resource allocation.
• Standardized KPI definitions and reporting logic across engineering and operations.
• Delivered clear, actionable insights that improved executive decision-making.
• Advanced a data-driven culture through strong communication and stakeholder alignment.