Bian Du
Chaoyang District, Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolBian Du is a data scientist and machine learning engineer with four years of hands-on experience building production risk and health models across fintech, healthcare devices, and pharmaceutical settings. He holds advanced degrees in data science and financial engineering and graduated top of his class in an MS program at WPI, where he published work on high-frequency trading optimization. At Qudian he led a patented risk exposure prediction project and delivered models that improved approval rates while reducing delinquency, and at OPay he developed credit risk models and monitored production metrics. His background spans time-series forecasting, Bayesian modeling, CNNs for chemical features, and practical ML engineering that cut runtimes dramatically (e.g., 30 minutes to 15 seconds at Pfizer). Beyond modeling, he has taught data science courses and built web interfaces and automated systems, reflecting both product sensibility and strong implementation skills. Based in Beijing, he combines solid statistical foundations with a track record of deploying impactful, efficiency-minded ML solutions.
5 years of coding experience
8 years of employment as a software developer
Master of Engineering (M.Eng.), Financial Engineering, Master of Engineering (M.Eng.), Financial Engineering at Nanjing UniversityMaster of Science (MS), Data Science, Master of Science (MS), Data Science at Worcester Polytechnic Institute
English, Chinese
Github Skills (19)
generative-model9
diffusion-probabilistic-models9
pipeline9
quantitative-finance9
contrastive-learning9
point-cloud9
agent8
3d-object-detection8
quantitative-trading8
llm8
3d6
object-detection5
pytorch5
openmmlab4
diffusion-models4
Programming languages (1)
Github contributions (5)
pkudba/SCL
Aug 2021 - Nov 2022
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning (ACM MM 2021)
Contributions:44 commits, 22 pushes in 1 year 2 months
contrastive-learningpoint-cloud
pkudba/3DHPA
Feb 2024 - Mar 2024
Contributions:4 pushes in 1 month
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