Chee Lim is a Data Science Manager with 10 years’ experience translating complex data into business impact across finance, consulting, and product teams, currently leading Global Finance Data Science at Johnson & Johnson in Singapore. He has a strong track record of shipping production ML solutions—fraud detection, customer retention, NLP-driven service analytics and patent-value models—that delivered measurable savings and new revenue (e.g., SGD 860k annual savings and SGD 570k in project revenue at DHL). Trained as a computational biologist (PhD, Cambridge), Chee blends rigorous research methods with practical engineering—deploying models as Dockerized APIs and PySpark pipelines—to bridge stakeholders and technical teams. He excels at turning ambiguous problems into scoped, high-value projects, communicating technical trade-offs to non-technical leaders, and building small, high-performing teams that consistently move prototypes into production. An early career emphasis on large-scale time-series and single-cell analysis underpins his affinity for complex, noisy datasets and causal-style inference beyond standard predictive tasks.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BSc), Biological Sciences (Genetics), 1st Class, Bachelor of Science (BSc), Biological Sciences (Genetics), 1st Class at The University of Edinburgh
Doctor of Philosophy (PhD), Computational Biology, Doctor of Philosophy (PhD), Computational Biology at University of Cambridge
A tool for creating skeleton python project, built with popular develop tools and conform to best practice.
Contributions:1 PR, 31 pushes, 2 branches in 1 year 8 months
best-practicetemplatepythonboilerplateskeleton
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