Technical Product Manager at Amazon who built workforce systems for 1M+ employees. I apply product thinking and mindful discipline to help growing businesses eliminate productivity leaks and implement scalable systems. Daily meditator who brings the same focus to optimizing business operationst. I thrive at the intersection of AI, product strategy, and execution.
Senior Tech Product Manager at Amazon | AI & HR Tech Specialist
Unplanned employee absenteeism presents a critical operational and financial challenge to organizations across industries, with U.S. employers losing approximately $225.8 billion annually. This paper proposes a specialized cloud-native machine learning framework to forecast shift-level absenteeism 12-48 hours in advance. Our proposed approach would integrate diverse data sources including historical attendance patterns, shift metadata, weather conditions, traffic data, and holiday proximity to create a robust predictive model. This proposal details the significant business problem, specific tree-based modeling decisions, hyperparameter optimization strategies, and implementation considerations that could enable substantial performance gains in enterprise workforce management.