Brandon Wen
Sr. Data & Applied Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolBrandon Wen is a Sr. Data & Applied Scientist in New York with a decade of experience turning actuarial rigor into production-ready machine learning for insurance and enterprise firms. He has led pricing and underwriting analytics at AIG and Argo Group—building probabilistic entity-resolution, deep learning cause-of-loss classifiers, and deployable models on AWS SageMaker—before joining Microsoft to scale applied data science work. Trained as an actuarial scientist at NYU Stern and with international business study in Paris, he blends statistical validation (cross-validation, bootstrap) with practical deployment and team leadership. A Kaggle Expert and ACAS-qualified practitioner, he pairs competitive modeling chops with a strong emphasis on model auditability and risk-aware decisioning. Notably, his background spans both product R&D at Verisk and hands-on productionization, making him fluent in the full lifecycle from research to operational ML.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.Sc.), Actuarial Science, Bachelor of Science (B.Sc.), Actuarial Science at New York University - Leonard N. Stern School of BusinessInternational Business, International Business at University of Paris - Dauphine
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
portable7
java7
gradient7
machine-learning7
scalable6
distributed-systems6
python6
scala6
xgboost6
spark6
dataflow5
big-data4
boosting4
dask4
hadoop4
Programming languages (2)
Github contributions (5)
microsoft/dstoolkit-time-series-forecasting
Feb 2023 - Oct 2024
A flexible, extensible framework for training and evaluating time-series forecasting models.
Contributions:2 reviews, 2 PRs, 4 pushes in 1 year 8 months
AdmiralWen/ds_tools
Oct 2017 - Sep 2021
Contributions:45 commits, 41 pushes, 1 branch in 3 years 11 months
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