Celeste Ang is a builder based in Singapore. Previously a Core Contributor at Virtuals Protocol and a Data Science & Engineering Lead at Grab and Oliver Wyman; studied machine learning at Georgia Tech, Stanford and NUS.
Lead Data Scientist / Engineer
Designed the data model for Thailand's largest bank, optimised for a lakehouse architecture on Databricks. Databricks partner champion.
Senior Data Scientist / Engineer
Built data pipelines and datamarts for 5+ SuperApp categories with 9+ external partners. Developed causal inference models and A/B test frameworks to quantify product impact at scale. Built an internal tool to democratise causal inference across the org.
MSc in Computer Science, specialization in Machine Learning
BSc in Business Analytics; NUS Overseas College Scholar
Exchange program
