Jingyi Liu

 Cloud pioneer and practitioner in modernizing tooling,
 Predict key wireless revenue components by utilizing a variety of machine learning algos and methodologies to improve the monthly revenue accuracy;
 Develop an anomaly detection system by implementing time-series forecasting and multiple statistical techniques to detect abnormal late payment charges

 Conduct pricing research by various methods (PSM, conjoint analysis etc) to evaluate customers’ level of acceptance in price fluctuations on different products
 Perform pricing sensitivity analysis by calculating price/cross elasticity of demand to support the price re-evaluation and set-up procedure

 Created and optimized machine learning algorithms using Python and C# scripting languages to accurately detect and predict health issues through integration of data science, time-series techniques, statistical regression and aerospace concepts
 Developed an alert logging system that identifies anomaly engines not performing as expected and notifies technicians to complete a more in-depth review