Bio

Things I have done: 1. ticket classifications using Natural Language Processing (c.a. 100 tickets per day saving 5 full-time employees' time); 2. helping cycling team (Team Jumbo-Visma) to identify talents at an early stage (rolling out to all riders above the age of 18); 3. building scalable automated machine learning sales forecasting algorithm for Lazada e-commerce (including all products on the retail and marketplace, around 1 million commodities, impacts 5 ~ 6 billion people's online shopping experiences in Southeast Asia) (based in Mainland China, business scenarios in Southeast Asia); 4. building scalable automated machine learning algorithm matching jobs and candidates impacting 5 million candidates job searching experiences (EU market); 5. applying mathematical models to solve resource allocation problems (in the Netherlands); Mindset: ''launch fast, fail fast and learn fast'' and we build data products to help improve people's quality of life;