Albert Cheng
Senior Data Scientist
Berlin, Germany
Summary
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Senior🎓
Top SchoolAlbert Cheng is a Senior Data Scientist based in Berlin with 10 years of experience building production-ready ML systems across fintech, mobility, and e-commerce. He specializes in AutoML, sequence modeling, and distribution-robust learning—having implemented MOEW and adversarial validation to address covariate shift and metric mismatch in real-world products. At Delivery Hero and previously at Cathay Financial Holdings and MoBagel he combined feature engineering, BERT-based sequence embeddings, and novel preprocessing/feature-selection techniques to improve binary classification and forecasting pipelines. He has a strong applied statistics foundation (M.S. in Statistics, B.S. in Mathematics) and a track record of boosting business metrics—e.g., increasing loan approvals by 10% via targeted ML solutions. Colleagues value him for translating research ideas like self-attention on user behavior into pragmatic, productionized models that resist overfitting.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at National Cheng Kung UniversityMaster of Science (M.S.), Statistics, Master of Science (M.S.), Statistics at National Chiao Tung University (NCTU)
Chinese, EnglishProgramming languages (2)
Github contributions (5)
musicmilif/Pokemon-Generator
Jan 2017 - Mar 2017
Contributions:31 commits, 47 pushes, 1 branch in 2 months
musicmilif/logogram_generator
Feb 2022 - Sep 2022
Contributions:17 commits, 1 PR, 11 pushes in 7 months
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