eveloped an executive-ready predictive modeling framework to identify and mitigate employee attrition risk using communication network integration. Leveraged behavioral network data to mathematically profile employee isolation, mapping out a critical risk threshold where disconnected employees face a 43% baseline probability of churn. Benchmarked predictive classification models to deliver data-driven risk stratification, allowing human resource leaders to deploy proactive retention interventions.