Yawei Luo
Data Scientist
Atlanta Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolYawei Luo is a data scientist with nine years of professional experience who blends consumer banking expertise with advanced analytics, currently applying ML and NLP at FIS after earning an MS in Data Science and Analytics from Georgia State University. She has led applied projects that turned social media sentiment into actionable insights for Truist’s mortgage team and quantified emissions tradeoffs for automotive clients using predictive modeling. Her background in economics and organizational management, plus hands-on banking roles, gives her a strong product-minded perspective on customer behavior and risk. Yawei pairs classical regression and classification work with deep learning and a growing interest in computer vision, evidenced by her GitHub focus. She is practiced at production-oriented data cleaning, cross-team communication, and mentoring, having managed project cadences in academic-industry sprints and trained branch staff in banking operations. Colleagues describe her as analytical, customer-centered, and adept at turning messy financial and social data into clear, business-ready recommendations.
10 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Economics, Organizational Management, Dance, 3.80, Bachelor’s Degree, Economics, Organizational Management, Dance, 3.80 at Agnes Scott CollegeMaster of Science - MS, Data Science and Analytics, Master of Science - MS, Data Science and Analytics at Georgia State UniversityPost Bacc, Information Technology, A, Post Bacc, Information Technology, A at Georgia Gwinnett College
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (23)
shift10
semantic-segmentation10
image-translation10
semantics10
semi-supervised-learning10
segmentation10
adversarial-learning10
few-shot-learning10
transfer-learning10
adaptation10
pytorch9
paper9
parsing9
deep-learning9
mining9
Programming languages (2)
Github contributions (5)
RoyalVane/ASM
Oct 2020 - Jul 2021
( NeurIPS 2020 ) Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
Contributions:43 commits, 2 PRs, 40 pushes in 8 months
pytorchminingneurips-2020one-shotdeep-learning
RoyalVane/MMAN
Jun 2018 - Aug 2018
( ECCV2018 ) Macro-Micro Adversarial Network for Human Parsing
Contributions:35 commits, 29 pushes, 1 branch in 2 months
parsingganhuman-parsingre-idpytorch
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