Suki Lau is a business-minded data scientist based in New York with 9 years of experience translating marketing science and product analytics into scalable data pipelines and machine learning products. She combines rigorous mathematical training (MPhil and BS in Mathematics) with an MS in Computer Science focused on machine learning to bridge modeling, engineering, and stakeholder-facing product roadmaps. Suki excels at building production-ready data processing infrastructure that enables repeatable experimentation and measurement for marketing and product teams. Comfortable working cross-functionally, she prioritizes pragmatic, data-driven solutions that balance short-term impact with long-term scalability. An appetite for both theory and systems design helps her surface non-obvious levers in customer behavior and operationalize them into measurable business outcomes.
9 years of coding experience
Summer School, Economics, Summer School, Economics at University of California, Berkeley
Master of Science in Computer Science, Machine Learning Specialization, Master of Science in Computer Science, Machine Learning Specialization at Georgia Institute of Technology
Contributions:18 commits, 16 pushes, 1 branch in 9 months
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