About

Xiang Gao is a highly skilled staff machine learning engineer with over 7 years of experience in the field. Currently, he is working as a quantitative analytics associate intern at Barclays, where he is responsible for developing and implementing machine learning algorithms to improve the efficiency of the organization's financial operations. Prior to joining Barclays, Xiang worked as a staff machine learning engineer at LinkedIn, where he contributed to the development of cutting-edge machine learning models for the company's recruitment and advertising platforms. He also worked as a data scientist intern at Target, where he gained valuable experience in data analysis and predictive modeling. Xiang has a strong educational background, having earned a Bachelor's degree in Computer Science from Zhejiang University in China and a Master's degree in Computer Science from the University of Minnesota in the United States. During his academic career, he focused on machine learning and data science, which has given him a solid foundation in these areas. Xiang is highly proficient in a range of technologies and tools, including ML, Data Scientist, and Research Scientist. He is passionate about using his skills and knowledge to develop innovative solutions that solve real-world problems. With his extensive experience and expertise, Xiang is a valuable asset to any organization looking to leverage the power of machine learning and data science to drive business success.