Latha Suresh

Developed and executed the strategy for a successful data engineering organization, establishing multiple cross-functional end-to-end pods which delivered millions of dollars in cost savings and revenue generation. Directed and implemented an end-to-end AI/Machine Learning solution to optimize the hiring process for package handlers across all FedEx facilities in the US, resulting in a recurring cost saving of 19 million dollars. Led the strategy and implementation of a Machine Learning solution to predict sort volume across US facilities, integrated with the Engineering Demand Plan system, resulting in a cost saving of 23 million dollars. Implemented an AI/ML predictive solution to identify packages with incorrect dimensions and weight, leading to re-weighing/measuring and recovering revenue from customers. Deployed an AI image classification solution using a Machine Learning model to classify images of packages scanned into the network, achieving tech simplification and licensing cost savings by transitioning from Dataiku to Azure. Directed a Cloud Cost Reduction initiative, achieving approximately 3 million dollars in annual cost savings and significant advancements in tech simplification. Led the development and implementation of a comprehensive metrics dashboard that incorporated profit, safety, and people metrics, facilitating two-way communication.