About
Elizabeth Barayuga is a highly accomplished Director of Data Science and Machine Learning at UPS, bringing almost a decade of expertise in Big Data, Machine Learning, and AI. With a Master's in Computer Science specializing in Machine Learning from Georgia Institute of Technology, Elizabeth is a results-driven leader who excels at translating complex data into impactful business solutions. She is adept at technical leadership, implementing large-scale algorithms that enhance decision support systems and user experiences, particularly within supply chain and logistics. Elizabeth is passionate about fostering a data-driven mindset and collaborates effectively across multifunctional teams to translate insights into tangible business gains. She has a proven track record in leading analytical initiatives, optimizing networks, and improving forecasting. Elizabeth is keen to connect with professionals working on cutting-edge ML/AI applications, data strategy, and real-world business problem-solving through data.