Geraint Song
About Geraint Song
Geraint Song is the Director of Data Science at Noodle.ai, where he has worked since 2021. He has a background in data science and computer science, holding a PhD from the University of Rochester and a Bachelor's degree from Soochow University.
Work at Noodle.ai
Geraint Song has been serving as the Director of Data Science at Noodle.ai since 2021. In this role, he focuses on leveraging data science to enhance operational efficiency and drive innovation within the organization. Prior to this position, he worked as a Principal Research Scientist at Noodle.ai from 2019 to 2021, where he contributed to various research initiatives. His tenure at Noodle.ai spans a total of three years, during which he has played a significant role in advancing the company's data science capabilities.
Previous Experience at GE
Before joining Noodle.ai, Geraint Song worked at General Electric (GE) as a Senior Data Scientist from 2016 to 2019. In this capacity, he applied his expertise in data science to develop solutions that improved operational processes. His experience at GE provided him with a solid foundation in data analysis and project management, contributing to his overall professional development in the field.
Educational Background
Geraint Song earned his Doctor of Philosophy (PhD) in Computer Science from the University of Rochester. He also holds a Bachelor's degree in Computer Science from Soochow University. His academic background has equipped him with a strong theoretical understanding of computer science principles, which he applies in his professional roles.
Skills and Expertise
Geraint Song possesses a versatile skill set that includes backend development, machine learning, and operations. His proven track record includes accelerating existing processes and initiating new projects. He is known for his growth mindset and team-first mentality, which contribute to effective collaboration and innovation in his work.
Internship at IBM
In 2014, Geraint Song completed a six-month internship at IBM as a Research Intern in San Jose, CA. This experience allowed him to gain practical knowledge in research methodologies and data analysis, further enhancing his skills in the technology sector.