Xinxin Gu is a Senior Data Scientist at Entain, with prior experience as an Applied Data Scientist and Machine Learning Engineer at Bosch Center for Artificial Intelligence. In earlier roles, Xinxin held positions as a Data Science Engineer Intern at Forkaia® and Data Scientist (NLP) Intern at Bosch, focusing on natural language processing for Helpdesk Tickets analysis. Additionally, Xinxin interned as a Data Analyst at Deloitte, providing strategy support for healthcare information systems, and as a Data Scientist Intern at Origent Data Sciences, optimizing predictive models for ALS disease progression. Academic qualifications include a Master's degree in Data Science from the University of Rochester and a Bachelor's degree in Geometry/Geometric Analysis from Southwest Jiaotong University. Xinxin has expertise in data mining, machine learning, deep learning, and computer vision, with a strong background in developing ETL pipelines and utilizing various analytical techniques.
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