Patty Bi

• Utilizing statistical analysis and risk assessment techniques to analyze everyday risk scenarios, approximately 900 risk cases have been processed. • Collaborated with law enforcement to gather evidence to support investigative efforts.

• Perform statistical analysis on the offline GPS big data across the entire network (Pandas & Numpy) and visualize its features, correlations. • Model the feature data and utilize various algorithms to predict the monthly default rate of customers. • Collaborate with the finance department to jointly implement risk management measures.

• Analyze and model customer data, uncovering trends and correlations within the data, extracting valuable insights, and generating an analytical report. • Conducting due diligence to assess the company's financial condition, debt repayment capability, and credit risks. • Monitor project risk exposure and utilize risk assessment models to quantify and evaluate risks.

• Analyzing factoring business data and providing data support to the settlement department. • generate a weekly data analysis report for the factoring project.

## 2023-05 - 2023-06 Forecasting the inflation rate in the United States • Utilized ARIMA time series method to forecast U.S. inflation rate, selecting optimal (p, d, q) combination using information criteria, and conducted comparative analysis with triple smoothing model. ## 2023-10-2023-12 Forecasting the Heart-disease • Incorporating the AUC model evaluation method, we found random forest algorithm, achieving a 98% accuracy rate in predicting heart disease likelihood.