Daniel Yang
Vice President, Fraud Analytics And Innovation Lead Analyst
Dallas-Fort Worth Metroplex United States
Summary
👤
Senior🎓
Top SchoolDaniel Yang is a data science and AI leader with over a decade of experience translating large, messy datasets into explainable, production-ready ML solutions across finance and research. Currently a Vice President at Bank of America, he has driven fraud, cybersecurity, and PII-detection models at scale and built resilient ETL pipelines integrating Hadoop, Teradata, Oracle and Splunk. His background as a PhD-trained quantitative social psychologist and former academic PI informs a rigorous, theory-driven approach to variable selection, causal insight, and reproducible analytics. Daniel is known for reducing big-data processing from months to hours, communicating complex findings clearly to stakeholders, and bridging research-grade methods with enterprise risk and regulatory frameworks.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Social Psychology (Quantitative emphasis), Master of Science - MS, Social Psychology (Quantitative emphasis) at National Taiwan UniversityBachelor of Science - BS, Electrical and Electronics Engineering, Bachelor of Science - BS, Electrical and Electronics Engineering at National Central UniversityDoctor of Philosophy - PhD, Social Psychology (Quantitative emphasis), Doctor of Philosophy - PhD, Social Psychology (Quantitative emphasis) at University of Illinois Urbana-Champaign
English, Chinese
Github Skills (34)
data-science9
qt9
interpretable-machine-learning9
python9
machine-learning9
statistics9
gtk9
data-analysis9
blackbox8
pypi8
scikit-learn8
music-generation8
matplotlib8
xai7
package-repository7
Programming languages (6)
Github contributions (5)
daniel-yj-yang/logistic-regression
Mar 2018 - Aug 2020
Contributions:151 pushes, 1 branch in 2 years 5 months
daniel-yj-yang/ML-retail-analytics
Aug 2020 - Aug 2020
Contributions:1480 pushes, 3 branches in 15 days
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