Summary
Bangda Sun is a Senior Algorithm Engineer with nine years of experience applying statistical rigor and machine learning to real-world business problems across finance, energy, and consumer services. With a Master’s in Statistics from Columbia and top-of-class undergraduate performance, he blends strong theoretical foundations with hands-on production experience at Ant Group, Capital One, and SparkCognition. His work spans NLP (classification, embeddings, NER), time-series and anomaly detection, graph analysis, and end-to-end ML pipelines, often optimizing models for highly imbalanced or noisy enterprise data. He has a practical bent for performance tuning—evidenced by an Rcpp speedup project—and experience deploying and monitoring models in production. An active practitioner and educator, he shares DS learnings on GitHub, Zhihu, and Kaggle (multiple silver and bronze medals), signaling both curiosity and community engagement. Based in Shanghai, he pairs domain breadth with a focus on turning complex analytic ideas into reliable, deployable solutions.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Arts in Statistics, Statistics, Major GPA: 3.92; Overall GPA: 3.79; Rank: 1/93, Bachelor of Arts in Statistics, Statistics, Major GPA: 3.92; Overall GPA: 3.79; Rank: 1/93 at Zhejiang Gongshang University
Master’s Degree, Statistics, 3.9, Master’s Degree, Statistics, 3.9 at Columbia University in the City of New York