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TaskXpert is an innovative workforce allocation system engineered to enhance productivity and efficiency on an EV battery assembly line. It leverages a predictive machine learning model to forecast a worker's performance and recommend the most suitable task for them. The system is your intelligent companion for data-driven task allocation.
Optimize operational expenses related to labor costs for courier service providers by finding the most optimal number of permanent in-house riders and demand-variable number of on call workers
Quantifying the impact of weather on service demand to optimize staffing schedules. Analyzed 17,000+ hours of data using Python to recommend dynamic scheduling.