Pei Zeng
Senior Data Scientist @ LexisNexis
United States
Raleigh
Law Practice
Multi-agent Systems, Algorithmic Trading, Data Engineering, Industry Research, Support Vector Machine (SVM), Generalized Linear Models, Decision Trees, Human-in-the-Loop Machine Learning, Retrieval-Augmented Generation (RAG), LLM Evaluation, Feature Engineering, Data Cleaning, Recommender Systems, Knowledge Graph Embeddings, Natural Language Processing (NLP), Python (Programming Language), Pyhton, Automatic Text Summarization, BERT (Language Model), Business Alignment
Experience

Senior Data Scientist
Remote | Raleigh, NC
GenAI Question Answering for the legal practitioner. • Conducted applied science and research on legal AI systems for reasoning, QA, drafting, summarization, and multi-agent system. • Worked on evaluation and improvement of LLM-based systems for legal-domain applications

Data Scientist
Bentonville, AR
• Applied machine learning to large-scale product and business problems across language models, retrieval, and predictive systems. • Worked on research and applied science initiatives spanning LLM evaluation, representation learning, and forecasting. Check My Assistant, A GenAI-powered platform building by People.AI team.

Data Science Intern
Pheramor
Greater Houston

Quantitative Researcher Intern
ChengDing Asset Management Co., Ltd
Shanghai, China
Education

statistics
Related Courses(time order): •STAT605 R for Data Science •STAT615 Regression and Linear Models •STAT581 Mathematical Probability •COMP540 Statistical Machine Learning •STAT519 Statistical Inference •STAT616 Advanced Statistical Methods •STAT621 Applied Time Series/Forecasting •STAT515 Data Science Consulting •STAT518 Probability •STAT525 Bayesian Statistics •STAT648 Graphical Models and Networks •ELEC577 Optimization for Data Science

Applied Statistics
Related Courses(time order): •Mathematical Analysis •Linear algebra •Space Analytic Geometry •Probability •Statistical Inference •Descriptive Statistics •Applied Multivariate Statistical Analysis •Sampling Techniques and Application • SAS software and application •Operation Research •Applied Time Series/Forecasting with R •Market Research and Questionnaire Design •Bayesian Statistics •Data Mining •Financial Statistics •Non-Parametric Statistics
Pei Zeng's Contact Information
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