Helsa Chan is a Machine Learning Engineer currently at MEQ, with previous experience as a Machine Learning Engineer at Zwoop and Lynk Global, where deep neural networks and natural language processing techniques were utilized for image classification and text analysis. Helsa has also served as a Data Scientist at Intact, focusing on document parsing and investment management, and held the position of Senior Data Scientist with added responsibilities in project management and technical coaching. Early career roles include a Research Intern at the University of Tennessee and various teaching and research assistant positions across multiple esteemed institutions. Throughout these experiences, Helsa has demonstrated expertise in machine learning, data analysis, and education.
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