Zhixiu Ye
Shenzhen, Guangdong Province, China
Summary
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SeniorZhi Ye is a data scientist with a decade of hands-on experience applying statistical rigor and machine learning to real-world problems, currently contributing at Elevance Health after progressing from Data Scientist Analyst. Trained at Carnegie Mellon (MS ISM, Business Intelligence & Data Analytics) with a strong applied-statistics background from Zhongnan University, he blends deep quantitative skills with production-focused analytics—Python, SQL, R, Java and extensive database experience. Early curiosity about recommendation systems grew into internships at Tencent and teaching experience as a CMU TA, giving him both industry and instructional perspective. Known for turning complex datasets into actionable models and insights, he emphasizes reproducible workflows and scalable analytics in healthcare and enterprise settings. An interesting detail: his analytical curiosity was sparked by observing Taobao’s recommendation precision in high school, a thread that continues to inform his user-centric modeling approach.
10 years of coding experience
Github Skills (37)
machine-translation10
named-entity-recognition10
relation-extraction10
sequence-labeling10
machine-learning10
natural-language-processing10
markov10
crf10
pytorch9
nlp9
lstm8
adapter8
few-shot-learning8
lora6
language-model6
Programming languages (5)
Github contributions (5)
ZhixiuYe/HSCRF-pytorch
Apr 2018 - Jul 2018
ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)
Contributions:33 commits, 24 pushes, 1 branch in 2 months
crfmarkovsequence-labelingpytorchnlp
ZhixiuYe/Intra-Bag-and-Inter-Bag-Attentions
Feb 2019 - Nov 2019
Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions
Contributions:11 commits, 10 pushes, 1 branch in 9 months
relation-extractionnlppytorchdistant-supervision
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