Summary
Tina Hsueh is a Senior Data Science Engineer with 8 years of experience building production ML systems that drive measurable business impact. She has led end-to-end projects—ETL pipelines, CI/CD-deployed models, customer segmentation, NLP chatbots, and fraud detection—that boosted conversion rates, reduced annotation costs, and automated formerly manual workflows. Comfortable bridging product, analytics, and engineering, she has scaled solutions for clients with hundreds of millions of users and mentored new hires to accelerate team productivity. Her technical toolkit spans deep learning (BERT, LSTM), classical ML, and visualization with hands-on experience in Python, PyTorch/Keras, scikit-learn, and dashboarding tools like Tableau and Sisense. Notably, she turned a 15-person process into a semi-automated clustering pipeline and delivered a client A/B-tested 10% sales lift. Based in Chicago, she holds a Master’s in Computer Science from Illinois Institute of Technology and continuously expands her skills through applied projects and certifications.
8 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Yuan-Ze University
Master’s Degree Computer Science, Master’s Degree Computer Science at Illinois Institute of Technology
English, Chinese