Qinqing Liu is a Senior Data Scientist with a Ph.D. in Computer Science and Engineering and ten years of experience applying advanced machine learning and statistical methods to real-world problems across energy, retail, and healthcare domains. Currently at Walmart Global Tech and previously leading HPC-driven weather and outage prediction systems for the Eversource Energy Center, she blends deep research in graph neural networks, VAEs, and attention-based time-series models with production deployment skills in Python, Ruby, and Bash. Her work includes designing graph sparsifiers and octree-based 3D CNNs to boost computational efficiency—an indicator of her talent for marrying theoretical innovation with practical engineering. Based in Hoboken, NJ, she also has hands-on experience building visualization and analytics platforms with R and PL/SQL, and a track record of improving forecasting and anomaly detection in enterprise settings.
10 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.), Biostatistics, Master of Science (M.S.), Biostatistics at University of Connecticut
Bachelor of Science (B.S.), Information and Computing Science, Bachelor of Science (B.S.), Information and Computing Science at Beijing Institute of Technology
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