Continuous Improvement Intern
Current• Developed and implemented dashboards for downtime analysis and net weight monitoring, reducing analysis time by 50% and enabling real-time insights that improved decision-making, optimized workflows, and enhanced overall efficiency.• Automated data collection and reporting by developing custom scripts, reducing manual entry errors by 30%, enhancing data accuracy, and cutting reporting time by 40%, which improved decision-making and streamlined operations.• Conducted analysis and reported findings from 50+ production process datasets, identifying areas for improvement and proposing actionable solutions.• Utilized data analytics to support process experiments, identifying inefficiencies that led to a 20% improvement in workflow efficiency and implementing changes that increased productivity by 15% and reduced resource waste by 10% across departments.• Collaborated with cross-functional teams to analyze production data, implementing data-driven improvements that increased throughput by 15% and reduced cycle times by 10%, boosting capacity and minimizing workflow delays.• Optimized production forecasting models by leveraging historical data and predictive analytics, improving scheduling accuracy by 25%, reducing lead times, and cutting operational costs by 12% through more efficient resource allocation and waste reduction.