Yanting Zeng
About Yanting Zeng
Yanting Zeng is a Data Scientist at Intact in Hong Kong SAR, where he has worked since 2021. He holds a Master of Science in Artificial Intelligence from The University of Edinburgh and has experience in software development and AI specialization.
Work at Intact Financial Corporation
Yanting Zeng has been employed as a Data Scientist at Intact Financial Corporation since 2021. Based in Hong Kong SAR, Zeng has contributed to various data science projects over the past three years. The role involves utilizing advanced data analysis techniques and tools to support decision-making processes within the organization.
Previous Experience at Amazon
Before joining Intact, Yanting Zeng worked at Amazon as a Software Development Engineer for a brief period in 2017. This role, based in Seattle, Washington, provided Zeng with experience in software development within a leading technology company, although the tenure lasted only three months.
Educational Background
Yanting Zeng holds a Master of Science degree in Artificial Intelligence from The University of Edinburgh, where studies were completed from 2018 to 2019. Prior to this, Zeng earned a Bachelor of Science degree in Computer Science from the University of California, Los Angeles, attending from 2012 to 2017. Additionally, Zeng completed a Full Stack Web Developer Nanodegree at Udacity from 2016 to 2017.
Expertise in Data Science and Machine Learning
Zeng possesses expertise in image processing and computer vision, which complements a strong foundation in machine learning. Proficient in Python and various libraries such as Scikit-Learn, XGBoost, and PyTorch, Zeng actively applies these skills in data science projects. Participation in Kaggle competitions further demonstrates Zeng's commitment to honing data science and machine learning capabilities.
Continuous Learning and Development
To stay updated with the latest trends in data science, Yanting Zeng explores new courses on MOOC platforms like Coursera. This commitment to continuous learning reflects a proactive approach to professional development and skill enhancement in a rapidly evolving field.