Results-driven Relay Operations Specialist with a strong back- ground in transportation logistics, adept at optimizing work- flows and enhancing service delivery. Proficient in managing inbound and outbound logis- tics, troubleshooting operational challenges, and implementing process improvements to drive efficiency. Demonstrated ability to leverage analytical and problem-solving skills to streamline operations and exceed customer expectations in fast-paced environments.
Overview
4
4
years of professional experience
Work History
Relay operation Specialist
Amazon Development Center India
Hyderabad
06.2022 - Current
Optimized routing and real-time tracking systems, reducing delivery delays by 25% and achieving a 98% on-time delivery rate across 24/7 operations
Collaborated with cross-functional teams to implement data-driven solutions, resolving 50+ operational challenges monthly and improving process efficiency by 15%
Developed performance metrics and analytical reports, driving a 20% reduction in processing time and a 10% increase in customer satisfaction scores
Spearheaded software enhancements, resulting in a 30% faster system response time and improved decision-making capabilities for the team
Trained 50+ new hires on operational processes, enhancing team productivity and contributing to a 10% increase in overall workflow efficiency
Leveraged Python and AI to analyze critical business challenges, providing actionable insights that improved operational workflows by 20%
Data Automation for Operational Efficiency: Automated the weekly shrinkage report, identifying critical operational patterns and establishing granular performance benchmarks for leadership, which optimized resource allocation and reduced shrinkage by 20%.
Technical Stack: Designed and implemented reporting pipelines using Python (Pandas, NumPy, Matplotlib) to analyze historical data, resulting in a 40% reduction in manual reporting efforts.
Unplanned Leave Analyzer System: Developed a robust Python automation system to streamline unplanned leave data extraction and analysis, reducing manual processing time by 75%.
Engineered advanced calculation algorithms for shrinkage percentages and created dynamic visualizations, including an automated Outlook email reporting system (leveraging pywin32) that improved distribution efficiency by 60%.