Research in recommendation systems
University of British Columbia
Jan 2011 - Jan 2017 (6 years 1 month)
• Extracted, parsed, and manually tagged large datasets to prepare for machine learning applications • Developed machine learning pipelines using WEKA API and datasets to create predictive algorithms • Applied Natural Language Processing (NLP) techniques to enhance the accuracy of predictive models • Conducted literature reviews and reproduced research studies, comparing results to validate findings • Used Google big data query to store data for processing • Published multiple peer-reviewed in software engineering and recommendation systems