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I am a data-driven and team-oriented contributor with hands-on experience applying machine learning, AI, and big data analytics to solve real-world problems and deliver measurable business value. My expertise is particularly strong in financial services and risk management. I am familiar with model development, DevOps workflows, and the software development lifecycle, and I approach challenges with strong critical thinking, resilience, and a commitment to continuous learning in ambiguous settings.…I am a data-driven and team-oriented contributor with hands-on experience applying machine learning, AI, and big data analytics to solve real-world problems and deliver measurable business value. My expertise is particularly strong in financial services and risk management. I am familiar with model development, DevOps workflows, and the software development lifecycle, and I approach challenges with strong critical thinking, resilience, and a commitment to continuous learning in ambiguous settings.

Yu-Wei (Edwin) Hsu

Data Scientist, AI Engineer, Developer, +1

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I am a data-driven and team-oriented contributor with hands-on experience applying machine learning, AI, and big data analytics to solve real-world problems and deliver measurable business value. My expertise is particularly strong in financial services and risk management. I am familiar with model development, DevOps workflows, and the software development lifecycle, and I approach challenges with strong critical thinking, resilience, and a commitment to continuous learning in ambiguous settings.…I am a data-driven and team-oriented contributor with hands-on experience applying machine learning, AI, and big data analytics to solve real-world problems and deliver measurable business value. My expertise is particularly strong in financial services and risk management. I am familiar with model development, DevOps workflows, and the software development lifecycle, and I approach challenges with strong critical thinking, resilience, and a commitment to continuous learning in ambiguous settings.

Available to hire

I am a data-driven and team-oriented contributor with hands-on experience applying machine learning, AI, and big data analytics to solve real-world problems and deliver measurable business value. My expertise is particularly strong in financial services and risk management. I am familiar with model development, DevOps workflows, and the software development lifecycle, and I approach challenges with strong critical thinking, resilience, and a commitment to continuous learning in ambiguous settings.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Machine Learning Engineer at Alliant Credit Union

August 1, 2024 - August 26, 2025

Collaborated with cross-functional teams through an industry-sponsored capstone project to embed model insights into loan restructuring strategies, contributing to an estimated $3M reduction in annual loan losses. Built a two-stage predictive modeling framework using Logistic Regression and XGBoost to forecast delinquency and default risks at multiple horizons with up to 95% F1-score. Engineered 39 features from diverse data sources, addressed class imbalance with SMOTE and undersampling, and conducted robust validation using 8-fold time-based cross-validation. Developed NLP-driven classification pipelines to automate delinquency case prioritization with over 90% precision and recall, enabling faster recovery actions. Leveraged Hadoop and PySpark on GCP to process large financial datasets, detecting borrower anomalies using Jaccard Similarity. Applied BERTopic-based topic modeling to regulatory filings and customer feedback to uncover compliance risks and early warning signals of credi