Shannon Kehoe
About Shannon Kehoe
Shannon Kehoe serves as the Director of Artificial Intelligence at Cleverbridge, having previously held roles at Troy and The Home Depot. With a strong background in data science and analytics, she has contributed significantly to various organizations and initiatives in the field of artificial intelligence.
Current Role at Cleverbridge
Shannon Kehoe serves as the Director of Artificial Intelligence at Cleverbridge, a position she has held since 2023. In this role, she focuses on leveraging artificial intelligence to enhance business processes and drive innovation. Her work contributes to the company's strategy in utilizing advanced technologies to improve customer experiences and operational efficiency.
Previous Experience at Troy
Prior to her current role, Shannon worked at Troy as Lead Data Scientist from 2021 to 2023. During her tenure, she was responsible for developing data-driven solutions and leading projects that utilized machine learning and data analytics. She also held the position of Senior Data Scientist at Troy for a brief period in 2021, where she further honed her expertise in data science.
Educational Background
Shannon Kehoe obtained her Master of Science in Analytics with a focus on Analytical Tools from Georgia Institute of Technology, completing her studies from 2017 to 2019. She also holds a Bachelor of Science in International Affairs and German, with a Minor in Economics, from the same institution, which she completed from 2011 to 2015. Her education has provided her with a strong foundation in data science and analytical methodologies.
Involvement with Women in AI
Shannon has been actively involved with Women in AI since 2021, serving as an Ambassador in Germany. In this capacity, she promotes diversity and inclusion within the field of artificial intelligence. She previously held the role of City Lead for Women in AI in Frankfurt am Main from 2020 to 2021, where she organized events and initiatives to support women in technology.
Notable Contributions and Projects
Throughout her career, Shannon has made significant contributions to various organizations. She developed machine learning algorithms for Koch Industries, valued at approximately $2 million, and identified a $60 million opportunity for the business through her analysis. At INVISTA, she initiated the construction of two new data products projected to save the company several hundred-thousand dollars. These projects highlight her ability to drive impactful results through data science.