Zhaoce Liu

About Zhaoce Liu

Statistics Ph.D. with strong experience in statistical research and data analysis- Experienced in Machine Learning models: XGBOOST, Light GBM, Decision Tree, Deep Learning- Experienced in survey methodology/sampling, non-probability sampling, and big data- Skilled in Pyhton. SAS, R/R Studio, Excel Statistics, SPSS, Minitab, Matlab- Proficiency in SAS/Statistics, SAS/Macro, SAS/Graph, SAS/IML with SAS BASE certificates- Excellent communication and interpersonal skills

Experience

1. Data Scientist Ii - Originations

   GM Financial

   Aug 2022 — Present · Dallas-Fort Worth, TX, US

   GenAI: Developed an AI solution using Azure AI Studio and Databricks to summarize customer data, producing standardized reports and improving efficiency by over 10x- Origination Model: Designed and fine-tuned machine learning models (LightGBM, XGBoost) via Bayesian optimization (Optuna), enhancing AUC by 15% and efficiency by 10x- Reject Inference Model: Innovated a method using stratified sampling, leading to a 10% AUC improvement- Feature Engineering: Spearheaded feature engineering initiatives to enhance model predictive power and optimize decision-making process for auto loan origination- Utilized raw data from multiple vendors (Equifax, TransUnion, LexisNexis, and Experian) for origination models- Utilized SAS (Enterprise Guide, Base/SQL) to access data warehouses and develop predictive models

Education

• Capital Normal University

  Bachelor's degree, Mathematics

  2009 — 2013

• Southern Methodist University

  Doctor of Philosophy (Ph.D.), Statistics

  2015 — 2020

• Sam Houston State University

  Master of Science (M.S.), Statistics

  2013 — 2015

Skills

• Matlab
• Latex
• Microsoft Office
• Sas Programming
• Data Analysis
• Sas
• Statistics
• Minitab
• R