Summary
Liubo Li is a senior data scientist with a PhD in Statistics from The Ohio State University and a decade of experience applying statistical modeling and machine learning to financial services and consumer platforms. Based in San Francisco, he has built and productionized predictive LTV models and ROI analyses for large-scale video and live-stream ecosystems at Kuaishou and optimized targeted conversion strategies at Credit Karma. He blends deep methodological expertise in Python, R, optimization and LaTeX with practical product impact—translating complex models into business guidance and measurable efficiency gains. His work at ZestFinance focused on transparent, fair credit modeling for underbanked populations, reflecting an emphasis on responsible ML. Not obvious from titles: he pairs formal academic consulting and teaching experience with hands-on engineering as a machine learning practitioner, able to move from research to robust production systems.
9 years of coding experience