Sara Farazi
About Sara Farazi
Sara Farazi is an Applied Research Scientist specializing in Natural Language Processing at Thomson Reuters in Toronto, Canada, where she has worked since 2019. She holds a Bachelor's degree in Information Technology from Sharif University of Technology and a Master's degree in Computing Science from the University of Alberta.
Work at Thomson Reuters
Sara Farazi has been employed at Thomson Reuters as an Applied Research Scientist specializing in Natural Language Processing (NLP) since 2019. Based in the Toronto, Canada Area, she has contributed to various projects within the organization, focusing on advancing NLP technologies and applications. Her role involves applying research methodologies to develop innovative solutions that enhance the company's offerings in information services.
Education and Expertise
Sara Farazi holds a Bachelor’s Degree in Information Technology from Sharif University of Technology, which she completed from 2011 to 2015. She furthered her education by obtaining a Master’s Degree in Computing Science from the University of Alberta, studying from 2016 to 2018. Her academic background provides a strong foundation in both theoretical and practical aspects of computing and information technology.
Background
Before her current position at Thomson Reuters, Sara Farazi gained valuable experience as a Research and Teaching Assistant at the University of Alberta from 2016 to 2018 and at the University of Waterloo from 2018 to 2019. Additionally, she completed a Software Engineer Internship at Asr Gooyesh Pardaz in 2015, where she developed her skills in software development and engineering.
Professional Experience
Sara Farazi's professional journey includes significant roles in academia and industry. At the University of Alberta, she worked as a Research and Teaching Assistant for two years, contributing to research projects and assisting in teaching responsibilities. Her subsequent role at the University of Waterloo lasted nine months, where she continued to support research initiatives. These experiences have equipped her with a diverse skill set applicable to her current role in applied research.