Cy. Yang
About Cy. Yang
Cy. Yang is a data scientist specializing in natural language processing techniques, currently working at Apolitical. With a background in behavioral and data science from the University of Warwick, Yang has experience in web scraping, model deployment on Google Cloud Platform, and content recommendation systems.
Work at Apolitical
Cy. Yang currently serves as a Data Scientist at Apolitical, a position held since 2020. In this role, he engages in web scraping to gather data for analysis and utilizes natural language processing techniques, including topic modeling, named entity recognition, and information extraction. Prior to his current role, he worked as a Junior Data Scientist at Apolitical for nine months in 2020 and as a Data Fellow for three months from 2019 to 2020. His experience at Apolitical has allowed him to develop skills in deploying models on Google Cloud Platform and conducting A/B testing as part of data analysis processes.
Education and Expertise
Cy. Yang holds a Master of Science in Behavioral and Data Science from the University of Warwick, where he studied from 2018 to 2019. He also earned a Bachelor of Business Administration from National Taiwan University, completing his studies from 2005 to 2009. His academic background supports his expertise in data science, particularly in natural language processing and content recommendation systems, where he utilizes RDFox, Datalog, and SPARQL.
Background
Before transitioning into data science, Cy. Yang worked as a Marketing Specialist at Want Want China in Shanghai from 2010 to 2012. This role provided him with foundational skills in business and management, which he later applied in his data science career. His diverse background in marketing and data science contributes to his analytical capabilities and understanding of data-driven decision-making.
Technical Skills
Cy. Yang specializes in various technical skills relevant to data science. He is proficient in natural language processing techniques, including topic modeling, named entity recognition, and information extraction. Additionally, he has experience in deploying models on Google Cloud Platform and conducts A/B testing as part of his data analysis processes. His knowledge of RDFox, Datalog, and SPARQL further enhances his ability to develop content recommendation systems.