- Analysis: o Launched pre-screening procedure by conducting AB testing from data to improve the efficiency and effectiveness of customers’ applications, which reduced the delinquency rate by 20%.o Conducted ad-hoc reporting for business requests from internal and external stakeholders.o Generated weekly and monthly reports including data visualization using Tableau or Plotly for our business team to drive core insights for risk management strategy decision-making.- Developed and Deployed multiple Credit Risk Models to Evaluate Customers Credit Risk for a Consumer Lending Business: o Built risk models from scratch, including data cleansing, feature engineering, feature selection, model development and model validation using SQL and Python on AWS.o Analyzed and synthesized training data with structured/unstructured data from various mobile usage data, text data and user demographics informationo Implemented data pipelines on multi-hundred million DAUs mobile data stored in Hive using Jenkins/Airflow/cron. o Significantly improved model performance through machine learning technique by 54% (KS) compared to previous generation; significantly contributed to company's revenue grow

- EPI203: Quantitative Epidemiology II: Statistical Inference - BIM 105: Probability and Statistics for Biomedical Engineers

- Designed algorithm to transform raw signal data collecting from phone at 50 Hz into stroke metrics for rowing sports. Performed data analysis and visualization (Tableau, Bokeh, Matplotlib, Seaborn) to establish the standard for rowing sport by Python. Worked with IOS app team to transform algorithm from back-end (python) to front side (swift). Distributed version control system with Bitbucket. - Performed ETL by SQL from AWS Relational Database Service (RDS).- Used R Shiny deployed in AWS EC2 to establish a website to show the data exploratory andvisualization with rowing expert.

- Used R ‘dplyr’ and SAS Macro to perform data analysis and data visualization- Characterized the measurements of cortical thickness, based on magnetic resonance imaging (MRI), from a cohort of study participants in the UC Davis Alzheimer’s Disease Center- Assessed the relationship of cortical thickness to participant characteristics (age, sex, education, cognitive function, and clinical diagnosis) concurrent with the MRI.

- Participated in a book project called "Public Health Challenges in Contemporary China: An Interdisciplinary Perspective" and "Chinese and Indian Medicine Today" published by Springer. - Organized a qualitative study: arranged face-to-face interviews with open-ended questionnaire on a purposive sampling of 20 Chinese Medicine doctors, translated open-ended questionnaire from Chinese into English, summarized and visualized the collected data.- Took meeting minutes for the 1st Interdisciplinary Forum on "Public Health Challenges in Contemporary China" held in UIC.

- Participated in a qualitative study for the paper "Massage (àn mó) and related services as popular culture: New consumption and fluid sex hierarchy in China"- Collected data and information from Internet, created indexing, translated conference minutes.

- Compiled Case Report Form into a database by using Epidata, CRF data entry,- SAS programming,- Understood the application of statistics in clinical trial I~III and related process, masking, statistical analysis, e.g. ANOVA, Logistic model etc.; participated in meetings and clinical trail related knowledge training