Summary
Junxuan L is a data engineer with nine years of experience and a Master’s in Information Systems Management from Carnegie Mellon University, specializing in business intelligence, data analytics, and experimentation. Currently at Meta working on wearable-device data, Junxuan blends rigorous machine learning and A/B testing expertise with a customer-centric mindset to turn complex signals into actionable product insights. Past projects include ML/NLP work standardizing construction task categories and predictive modeling for product growth, showing a knack for applied research-to-production pipelines. A quick learner and collaborative teammate, Junxuan pairs strong quantitative training in financial mathematics with hands-on engineering to drive business impact across industries.
10 years of coding experience
Bachelor of Science - BS, Financial Mathematics, First Class Honours, Bachelor of Science - BS, Financial Mathematics, First Class Honours at Beijing Normal-Hong Kong Baptist University
Bachelor of Science - BS, Financial Mathematics, First Class Honours, Bachelor of Science - BS, Financial Mathematics, First Class Honours at Hong Kong Baptist University
Master's degree, Information Systems Management - Business Intelligence and Data Analytics, Distinction, Master's degree, Information Systems Management - Business Intelligence and Data Analytics, Distinction at Carnegie Mellon University
Chinese, English