Albert Cheng
Lead Data Scientist
Singapore
Summary
👤
Senior🎓
Top SchoolAlbert Cheng is a Lead Data Scientist based in Singapore with a decade of experience turning web analytics and product data into actionable business insights. He has progressed from hands-on analytics and ETL/warehouse buildouts to leading data science initiatives at Grab, combining rigorous statistical training (MStat, BSc Mathematics) with practical skills in A/B testing, anomaly detection, and dashboarding. Known for bridging analytics and engineering, he has implemented tracking, Big Data pipelines, and data governance across multiple fintech and travel-tech products. His GitHub motto—Connection, Prediction, Simulation—reflects a pragmatic approach to modeling user behavior and operationalizing predictive systems. Colleagues rely on him to standardize reporting, scale data platforms, and translate complex analyses into product decisions.
10 years of coding experience
7 years of employment as a software developer
The University of Hong Kong (HKU)
English, Chinese, Chinese
Stackoverflow
153reputation
37kreached
3answers
1question
Github Skills (82)
slack10
visualization10
r9
gradient9
gradient-boosting9
lightgbm9
googleauthr9
clojure9
database9
data-visualization9
postgresql9
dashboard9
parallel9
python9
data-mining9
Programming languages (6)
Github contributions (5)
lantanacamara/lightgbmExplainer
Oct 2017 - Aug 2019
An R package that makes lightgbm models fully interpretable (take reference from https://github.com/AppliedDataSciencePartners/xgboostExplainer)
Contributions:20 commits, 3 PRs, 16 pushes in 1 year 10 months
r-packagerstatslightgbmlightgbm-modelsinterpretable
lantanacamara/googleSheetsR
Jul 2018 - Feb 2020
Contributions:7 pushes, 3 branches, 1 comment in 1 year 7 months
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