Zeya LT is a Senior Data Scientist based in Singapore with six years of experience turning complex problems into actionable analytics, currently leading marketing attribution and personalization efforts at Grab. A former police officer who transitioned into data science, he combines investigative rigor with advanced technical skills—developing Python packages for text preprocessing and synthetic data, pioneering AI detection for public transport, and applying LLMs for sentiment and style classification. He has a MSc in Data Science & Analytics (University of Leeds) where he graduated near the top of his cohort, and a background in mechanical engineering from NUS. Comfortable managing teams and stakeholder-aligned projects, Zeya blends statistical rigor (A/B testing, regression) with pragmatic feature engineering to drive measurable growth and operational savings.
6 years of coding experience
4 years of employment as a software developer
Loughborough University
Victoria Junior College
Master of Science - MSc Data Science and Analytics, Master of Science - MSc Data Science and Analytics at University of Leeds
Bachelor's Degree Mechanical Engineering, Bachelor's Degree Mechanical Engineering at National University of Singapore
Contributions:8 PRs, 13 pushes, 5 branches in 1 year 1 month
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