Elizabeth Barayuga
Director Data Science and Machine Learning at UPS
About
Elizabeth Barayuga is an accomplished Director of Data Science and Machine Learning at UPS, with over 20 years of experience in data analytics, machine learning, and big data technologies. She has successfully led large-scale projects to develop algorithms that support business decision-making and enhance user experiences. Elizabeth is skilled in platforms and languages including Hadoop, PySpark, Scala, Python, R, and SQL, with proven expertise in statistical modeling and dimensional data modeling. Her strong leadership and communication abilities have enabled her to manage multifunctional teams, driving strategic business solutions and fostering a data-driven culture at UPS.
Priorities
Elizabeth’s priorities focus on promoting a data-driven mindset and delivering long-term business value through data science and advanced analytics. She emphasizes collaboration with cross-functional teams to implement scalable machine learning and AI projects that improve operational efficiency and decision support. Elizabeth leads the Center of Excellence for Advanced Analytics, standardizing delivery processes and providing executive governance for data science initiatives. She is dedicated to identifying opportunities for business process improvements through data innovation, guiding projects from data acquisition to model deployment, and enabling reuse across organizational teams.