People / Students / Class of 2026
Luning Ding graduated from UCLA with a degree in Statistics and Data Science. She has gained hands-on experience across data science, analytics, and machine learning roles through internships at TikTok, eBay, and Hundsun Technologies. At TikTok, she worked as a Data Scientist Intern, leading A/B tests for TikTok Shop creator onboarding and activation and leveraging cohort and funnel analysis to optimize creator growth strategies. She also built risk monitoring and early-warning dashboards to improve creator quality monitoring and support platform strategy decisions. At eBay, she worked as a Data Analyst Intern focused on Southeast Asia categories, building SQL/Python pipelines to track key business metrics and developing dashboards and reports in Tableau and Excel to support business performance monitoring and decision-making. In addition, Luning conducted computer-vision research at UC Santa Barbara, where she applied UNet and ResNet models for bee hair quantification and contributed to a publication in Functional Ecology. She also worked on OCR and text detection optimization during her internship at Hundsun Technologies, improving model performance through algorithm and evaluation framework enhancements. Luning is proficient in Python, SQL, and R, with experience in PyTorch, TensorFlow, Tableau, and Excel. She is particularly interested in pursuing a career in product data science, with a focus on experimentation, causal inference, recommendation systems, and AI-driven product analytics.
