Summary
Hoang Nguyen is a data scientist with a decade of experience and over six years focused on building production ML solutions for finance and education, blending strong academic credentials in AI with hands-on work in NLP, graph learning, and cloud-based prediction. He has shipped systems from automated NLP scoring for edtech to credit-scoring models that leverage call data records, and recently worked on deploying conversational LMs and synthetic datasets to improve banking voice bots. Hoang’s research background in dynamic and heterogeneous graph representation learning and process-aware deep learning informs his practical approach to feature engineering and model design. Comfortable across tabular and textual data at multiple scales, he bridges research and product teams to turn complex models into actionable business insights. A detail that sets him apart is his track record of improving legacy systems (e.g., a 10% uplift in scoring accuracy) while exploring LLM-generated features and semantic search for real-world voice applications.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Banking, Corporate, Finance, 3.67/4.0, Bachelor’s Degree, Banking, Corporate, Finance, 3.67/4.0 at Danang University of Economics
High School, Mathematics, High School, Mathematics at Le Quy Don High School for the Gifted
Master's degree, Computer Science, 4.3/4.3, Master's degree, Computer Science, 4.3/4.3 at Toronto Metropolitan University
Master’s Degree, Management Information Systems, 4.19/4.3, Master’s Degree, Management Information Systems, 4.19/4.3 at Ulsan National Institute of Science and Technology
Vietnamese, English