Wen-kai Chung is a data scientist in Hamburg with 8 years of experience blending rigorous mathematics and economics training with applied machine learning, particularly in NLP and time series forecasting. At Lufthansa Technik he progressed from thesis and internships into a data scientist role, having evaluated hierarchical forecasting against transformers for practical industrial use. Previous roles include building a performant Random Forest time-series benchmark and leading development and release efforts for an AutoML forecasting platform that delivered sub-5% error for a customer and improved model accuracy by 25%. His research work in knowledge graphs and company-relationship extraction earned academic publications and informs his pragmatic approach to combining structured and unstructured data. He writes about data science and software engineering on his blog, signaling a commitment to clear communication and continued community contribution.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Mathematics, 3.53 out of 4.3, Bachelor of Science - BS, Mathematics, 3.53 out of 4.3 at National Taiwan University
Master of Science - MS, Economics, 1,6 out of 1,0, Master of Science - MS, Economics, 1,6 out of 1,0 at Universität Mannheim
Contributions:20 pushes, 1 branch in 5 years 7 months
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