Kenrick Goh is a Senior Data Scientist with 10 years of experience in analytics, currently driving experimentation and product insights at TikTok after leading demand-shaping and ads inventory initiatives at Grab. He specializes in rigorous A/B testing and advanced statistical methods (Cuped, bootstrapping, Bayesian approaches) and has a track record of building scalable dashboards and automated experiment pipelines that align product features with business OKRs. Kenrick pairs an MTech from NUS and hands-on machine learning research with practical product impact, including an in-house cohort-analysis tool he’s developing to streamline feature-time comparisons. He brings cross-domain experience from public sector optimization to ad monetization, and a curious maker’s streak—experimenting with GANs for avatar generation while learning big data technologies.
10 years of coding experience
5 years of employment as a software developer
Master of Technology - MTech Information Technology, Master of Technology - MTech Information Technology at National University of Singapore
Contributions:2 pushes, 1 branch in 1 year 6 months
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