Huaqing Li
Summary
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SeniorHuaqing Li is a seasoned data science leader based in Omaha, Nebraska, with more than a decade of hands-on experience turning data into strategic insights across finance, transportation, healthcare, and energy. As Director of Data Science at FNBO since 2024, he develops and deploys AI and deep-learning solutions for fraud detection, risk assessment, and customer-journey optimization, driving operational efficiency and better decision-making. Previously, he led data engineering and ML initiatives at First National Bank of Omaha and built predictive and OCR pipelines as a Data Scientist at Union Pacific, including CNN/LSTM time-series models. He blends a strong research pedigree—PhD in physical electronics and an MS in Computer Science—from the University of Nebraska–Lincoln—with practical expertise in Python, R, SQL, AWS, Docker, Spark, and web technologies. His career spans academic roles at Oak Ridge National Laboratory and the University of Nebraska Medical Center, where he worked on batch-effect removal, disease prediction, and robust data preprocessing for large-scale biomedical data. He is known for translating complex business problems into interpretable, production-ready models and for the ability to quickly learn new technologies to deliver impactful analytics.
10 years of coding experience
Github Skills (12)
python3
machine-learning3
computer-vision3
keras3
tensorflow2
gpu2
neural-network2
deep-learning2
pytorch2
tensor1
numpy1
autograd1
Github contributions (5)
hqli/caffe_install
Feb 2016 - Jun 2016
Contributions:40 commits, 38 pushes, 1 branch in 3 months
hqli/hqli.github.io
Mar 2017 - Dec 2018
Contributions:16 pushes, 1 branch in 1 year 9 months
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