Zongqi Hu is a Senior Data Scientist based in Singapore with 11 years of experience applying ML and analytics to e-commerce and financial services, currently building ETL pipelines, data lineage tooling, and an LLM-based self-analytics chatbot. He has delivered measurable business impact—improving user graduation rates in consumer credit, boosting transaction users through propensity models, and cutting promotion spend via uplift modeling. A part-time PhD candidate at NTU's College of Computing & Data Science, Zongqi blends rigorous research training with hands-on production work across PySpark, Python, and SQL. He also has a background in embedded systems and HMI from earlier research and internships, which informs a systems-minded approach to data problems. Known for turning complex data into pragmatic solutions, he mentors junior teammates and bridges analytics with product execution.
11 years of coding experience
3 years of employment as a software developer
Master's degree Master of Science in Business Analytics (MSBA), Master's degree Master of Science in Business Analytics (MSBA) at National University of Singapore
Exchange Study Electrical and Electronics Engineering, Exchange Study Electrical and Electronics Engineering at CentraleSupélec
Hwa Chong Institution
Doctor of Philosophy - PhD College of Computing & Data Science, Doctor of Philosophy - PhD College of Computing & Data Science at Nanyang Technological University Singapore
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