Elizabeth Barayuga, Director Data Science and Machine Learning at UPS
UPSLogistics & Transport

Attendee

Elizabeth Barayuga

Director Data Science and Machine Learning at UPS

0Rooms joined
0Sessions on stage
0Awards

On their agenda

Five priorities, mapped against profiled leaders

01

Driving data-driven mindset

05

Fostering cross-functional collaboration

Source: 734 CIO Vision leader profiles with at least one priority theme, from 742 leaders in the series. Share of those leaders in each theme; leaders may have multiple themes. Yellow marks Elizabeth's saved themes.

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.

Summarised from public LinkedIn activity ·

Same agenda, other rooms

99 leaders share three or more of Elizabeth's priorities

Partner with CIO Vision

Reach leaders like Elizabeth

Four or five partners per room, alongside 50–100 CIOs and enterprise AI leaders. Tell us who you want to meet.

See the audience