ENHANCE DATA QUALITY, EVENT DETECTION, AND SITUATIONAL AWARENESS WITH MACHINE LEARNING ALGORITHMS USING SYNCHROPHASOR AND ADVANCED METERING INFRASTRUCTURE DATA. THE PRIMARY GOAL OF THIS PROJECT IS TO ENHANCE POWER SYSTEM RELIABILITY AND RESILIENCE THROUGH CUTTING-EDGE MACHINE LEARNING-BASED STREAMING SENSOR DATA ANALYTICS. SPECIFICALLY, THE RECIPIENT AIMS TO ENHANCE SENSOR DATA QUALITY, IMPROVE EVENT DETECTION, LABELING, AND CLASSIFICATION, AND BOOST DISTRIBUTION SYSTEM OPERATOR SITUATIONAL AWARENESS AT THE GRID EDGE.