Haoyu Cheng
Commercial Analytics at National University of Singapore
Munich, Bavaria, Singapore
Summary
👤
Senior🎓
Top SchoolHaoyu Cheng is a data science and machine learning master’s student at the National University of Singapore with eight years of analytical experience spanning consulting, e-commerce, and supply-chain domains. He has applied Python, R, SQL and BI tools to analyze large operational datasets during internships at Accenture and Continental, delivering customer segmentation, demand forecasting and O2O strategy insights. His research on transaction-level e-commerce delivery performance was peer-reviewed at ACM ICCSMT 2024, reflecting a blend of rigorous analysis and practical impact. Comfortable with models from Random Forest and XGBoost to LSTM and time-series forecasting, he pairs technical modeling with clear dashboarding to drive business decisions. Beyond technical work, he co-founded a student design marketplace and served in student leadership roles, demonstrating cross-functional collaboration and a knack for connecting data to users and partners. Located between Munich and Singapore, he seeks analyst or data science internships that translate complex data into operational strategy.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA Statistics, Bachelor of Arts - BA Statistics at University of VirginiaMaster of Data Science and Machine Learning, Master of Data Science and Machine Learning at National University of Singapore
Github Skills (4)
generic-interface8
simulation8
osi8
python5
Programming languages (3)
Github contributions (5)
haoyuanying/osi-visualizer
Nov 2017 - May 2018
Contributions:2 PRs, 8 pushes in 6 months
haoyuanying/open-simulation-interface
Oct 2017 - Mar 2018
Contributions:2 pushes, 2 branches in 5 months
environmentalgeneric-interfacesimulationgenericperception
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