Ling-ying Lin
Data Scientist
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolLing-ying Lin is a data scientist with a PhD in Physics and nine years of experience turning large, messy datasets into actionable insights using machine learning, statistical modeling, and distributed computing. She has applied her strong quantitative and programming skills across domains—from sensor analytics at Molex to particle detector simulations and experimental analysis at national labs—bringing both research rigor and production-minded solutions. Her portfolio spans stock movement prediction, medical image classification, recommendation systems, and large-scale Spark ML text and regression projects, showing versatility across supervised and unsupervised problems. Comfortable with SQL, Python, Scala, Spark, and visualization tools like Tableau, she excels at communicating complex results to stakeholders and building reproducible pipelines. Notably, her background in experimental physics means she frequently combines hands-on instrument design and simulation with data-driven modeling, a blend that helps bridge lab-scale experimentation and real-world product analytics.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Theoretical and Mathematical Physics, Master's degree, Theoretical and Mathematical Physics at National Taiwan UniversityBachelor of Science, Physics and Earth Science, Bachelor of Science, Physics and Earth Science at National Taiwan Normal UniversityDoctoral degree, Physics, 3.9571/4.0, Doctoral degree, Physics, 3.9571/4.0 at Michigan State University
English, ChineseGithub contributions (5)
graceofgod/Amazon-review-classification-with-SparkML-
Jul 2017 - Aug 2017
Contributions:25 commits, 24 pushes, 2 branches in 29 days
graceofgod/notes
Aug 2017 - Feb 2018
Contributions:39 pushes, 1 branch in 5 months
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