Driving data-driven mindset
On their agenda
Driving data-driven mindset
Implementing large-scale ML/AI algorithms
AI strategyTechnical leadership in data science
Talent & cultureImproving user experience with data
Customer experienceFostering cross-functional collaboration
Working on now
Currently, Elizabeth is focused on partnering with cross-functional teams at UPS to drive a data-driven mindset, capitalizing on data and insights to achieve both quick wins and long-term business gains
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.
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