About

Keyu Nie is a highly skilled data scientist with over 11 years of relevant experience in the field. Currently working as a Data Scientist at eBay, Keyu has a strong background in mathematics and statistics. With a Ph.D. in Mathematics and Statistics from the University of Illinois, he also holds a Bachelor of Science degree in Physics from the University of Science and Technology of China, and a Master of Science degree in Physics and Statistics from the University of Illinois. Keyu's programming skills include R, SAS, MATLAB, SQL, and Python. He is a SAS Certified Base Programmer and has passed Actuary Exams in Probability and Financial Math. Keyu's quantitative skills are extensive and include General Linear Modeling and Regularization, Bayesian Methods, Factor Model, Path Analysis, Principle Component Analysis, Multivariate Analysis, Experiment Design, Survey Sampling, Monte Carlo, Optimization, Time Series, Classification Method (KNN, SVM, Discriminant Analysis, Naive Bayes Decision etc.), Decision Tree (Random Forests & Boosting). Keyu's research interests include Experiment Design, Meta-analysis, Estimation Theory, and Auction Theory. He has worked as a Quantitative Research Analyst at First Capital Securities Co., where he contributed to the research and portfolio management team in developing solutions for concrete portfolio management problems. He has also worked as a Consultant at Statistical Consulting Laboratory, where he provided statistical assistance and consultation to clients and conducted project-based data analytical solution and problem solving. Keyu is currently pursuing a Graduate Program in Artificial Intelligence at Stanford University, which will be completed in 2023. He is a Research Scientist with a strong tech stack that includes SQL, Naive Bayes, SVM, and Python. Keyu is a highly motivated and skilled data scientist who is always eager to learn and contribute to the field.