• As a senior applied AI/ML scientist in the Global People Analytics and Data Science Team, assisted the HR in making informed decisions using various approaches, including machine learning, mixed-effect regression, causal inference, survey data analysis, and NLP techniques. - Developed a workflow and ML models (network analysis, NLP, and GBM) to profile software engineer’s programming skills by utilizing Bitbucket's millions of source code files, supporting one of HR strategy priorities — enable career experience through job matching, recommended learning, and differentiation of pay. - Extracted actionable insights from Employee Opinion Survey using advanced NLP techniques (Neural/Embedding Topic modes, Transformer), clustering, and predictive models.- Evaluated the impacts of launching new ML tools, such as designing DID quasi-experiments to estimate the effects.- Helped the campus recruiting team interview candidates for the AI/DS summer intern program.