Gawain Chin
Data Science Manager at A.S. Watson · ML practitioner and trainer
Hong Kong, Hong Kong SAR
Summary
Experienced data science leader who transitioned from individual contributor to people manager and lead, focusing on supervising technical work, aligning data projects with business goals, and making time for strategic planning. theorg+1
Active educator and trainer: has run data science training and tutorships (Venturenix LAB) and writes explanatory technical content to teach ML concepts to peers and learners. theorg+1
Hands-on ML practitioner and technical communicator who authors articles on model interpretation, recommender systems, and practical ML considerations, and contributes code to open-source projects. github+2
Community-engaged speaker and contributor: has participated in local data events and workshops (e.g., web crawling session for a CityU event) and is involved in Hong Kong's data community activities. edu+1
Work
Education
Projects
Writing
Recsys: A note between BPR vs WARP and the Popularity Bias Challenge
June 1, 2024Discussion of ranking-based recommender algorithms (BPR and WARP) and how sampling strategies can introduce or amplify popularity bias in implicit-feedback settings.
Beyond the code: My learning as being a Data science lead
April 1, 2024Personal reflections on transitioning into a data science lead role, covering people management, reviewing work, strategic thinking, and empowering teams.
Correlation vs SHAP: Understanding Feature Importance in ML Models
February 1, 2024Explains differences between correlation and SHAP values for assessing feature importance, with examples showing where each is appropriate.