Test students' ability to apply predictive workforce analytics to design measurable interventions that reduce voluntary turnover in a hybrid-remote technology firm. Scope: identifying and integrating HR, performance, engagement and remote-work data; feature engineering and selection; choosing and validating predictive and causal models; fairness, privacy and bias mitigation; designing A/B or quasi-experimental intervention trials; estimating effect sizes, cost-benefit and ROI; operational rollout and monitoring metrics for sustained reduction in voluntary attrition.