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Make Data Work
December 1–3, 2015 • Singapore
Kai Xin Thia

Kai Xin Thia
Data Scientist, Lazada

Website | @thiakx

Kai Xin Thia is a data scientist at Lazada. He specializes in behavioral analytics and has an interest in large recommendation systems. He has been building behavioral models for three years and is in the top 1% on Kaggle, an international data science competition portal. Kai Xin is also the co-founder of DataScience SG (the largest data science community in Singapore), volunteer at DataKind SG (NGO that helps other NGOs through data science), and is an invited speaker/trainer at various data meetups in Singapore. He likes traveling and experiencing the diversity of the world.


11:00am–11:40am Wednesday, 12/02/2015
Data Science and Advanced Analytics
Location: 321-322 Level: Intermediate
Tags: featured
Kai Xin Thia (Lazada)
Average rating: ****.
(4.45, 11 ratings)
Southeast Asia provides a unique challenge to large recommender systems: how will you design one system that recommends products to millions of users, many whom are spread across several countries, with their own language and cultural preferences? Well, you don't. Instead, we will explore a hybrid system that integrates inputs from a variety of recommenders and deploys it on a distributed system. Read more.