Data Scientist
Current- 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