• Clean and analyze 100k tweets and 200 millions user profiles with Python and PostgreSQL• Built 5+ ETL data pipelines that analyze Google search results and advertisement with Python and postgreSQL, and visualized with Javascript, using Beautiful Soup, Pandas, requests, and D3.js libraries. • Improved Twitter API accessibility for the center by writing a task-specific UI for non-technical researchers • Analyzed over a million tweets and constructed visualization for follower overlaps with Python using NetworkX library• Monitor and mark election related Google Ads with API calls, database queries, and machine Learning technique• Co-authored a paper on google search analysis during 2020 Presidential Election and 2 blog posts on online misinformation during the election

Teacher Assistant for "Spot and Debunk Misinformation" class at the University of Washington Information School• Help students to spot the tricky or useless content in infographics or news articles.• Teach them on how to stay alerted in this era of misinformation, like exam sources.• Lead TA team on grading homework & quizzes.• Translate online course content to Chinese and sync the caption with video timeline.