Summary
Zewen Li is a data-focused engineer based in Sunnyvale with nine years of experience applying statistical modeling and machine learning to real-world problems. Trained at the University of Southern California, he is proficient in Python, SQL, Spark, TensorFlow/Keras and a broad suite of algorithms from linear/logistic regression and SVMs to ensemble models and LDA. He emphasizes robust feature engineering and selection (PCA, RFE, regularization) and practical evaluation techniques including hypothesis testing and A/B experiments. Comfortable across the data stack—from MySQL and Spark to Tableau and Excel—he translates analytical insights into actionable results. Colleagues describe him as pragmatic (his GitHub quip “To code or not to code, it's up to boss.” hints at a focus on impact over ivory-tower complexity). He’s actively seeking data roles where engineering rigor and applied analytics meet product needs.
8 years of coding experience
University of Southern California
English, Chinese