Priya Sharma is a brilliant Health Score Analyst who transforms raw customer data into actionable retention intelligence.

Her expertise in predictive modeling and behavioral analytics has saved millions in ARR by identifying churn risks months before traditional metrics would flag them. In 2026, Priya employs machine learning models that synthesize signals from product usage, support interactions, billing patterns, and engagement metrics into unified health scores with unprecedented predictive accuracy. Her "Multi-Signal Health Framework" has achieved 89% accuracy in predicting churn 90 days in advance, giving CS teams the runway they need to intervene effectively. Priya's technical proficiency spans the analytics ecosystem: Gainsight's health scoring engine, ChurnZero's real-time analytics, Looker's business intelligence platform, and custom Python/SQL analysis. She can build, tune, and deploy health scoring models, create automated alerting systems, and generate insights dashboards that drive action. For companies flying blind on customer health or struggling with reactive churn management, Priya provides the analytical foundation for proactive customer success. She builds the scoring models, monitors the dashboards, and delivers the insights that keep your customers from slipping away unnoticed.