Summary
Qimin Zhang is a Senior Data Scientist based in New York with six years of experience delivering production-grade analytics and ML solutions across advertising, clinical trials, and research settings. Trained in biostatistics at Columbia, he combines rigorous statistical modeling (propensity, XGBoost, time series) with big-data engineering skills—PySpark, AWS EMR/S3, Airflow, Docker—to manage 100TB+ datasets and run weekly CI/CD graph builds for cross-device identity. At Nielsen he maintained 500+ models and constructed a semi-supervised graph linking billions of identifiers for person- and household-level targeting, while at Attain he built a live purchase feed covering the entire U.S. population. He also has hands-on research experience developing group-level ICA for brain signals on HPC, reflecting a knack for translating complex algorithms into scalable pipelines. Colleagues rely on him for technical mentorship, pragmatic delivery, and bridging statistical rigor with production engineering.
6 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS, Bachelor of Science - BS at Sun Yat-sen University
High School Diploma, Science, High School Diploma, Science at Shenzhen Middle School
Master of Science - MS, Biostatistics, Master of Science - MS, Biostatistics at Columbia University
University of California, Los Angeles
English, Japanese, Chinese