Jing Zhang

Title: Jing Zhang: Innovator in Time Series Prediction

Introduction

Jing Zhang is a prominent inventor based in Seattle, WA, known for her innovative contributions to the field of machine learning and time series analysis. With a focus on correcting time series predictions for seasonality using trends, she has made significant strides in enhancing predictive accuracy.

Latest Patents

Jing Zhang holds a patent titled "Correcting time series predictions for seasonality with trends." This patent outlines a method for improving time series predictions by utilizing a machine learning model trained on historical data. The process involves obtaining data from previous analysis periods, decomposing the time series prediction into its components, and evaluating the trend component to determine if a trend replacement criterion is met. By replacing the trend component of the prediction with relevant data from prior periods, her method effectively corrects predictions for seasonal variations. She has 1 patent to her name.

Career Highlights

Jing Zhang is currently employed at Amazon Technologies, Inc., where she applies her expertise in machine learning and data analysis. Her work focuses on developing advanced algorithms that enhance the accuracy of predictive models, making significant contributions to the company's technological advancements.

Collaborations

Jing has collaborated with notable colleagues, including Wei Niu and Spyridon Garyfallos, to further her research and development efforts in the field of machine learning.

Conclusion

Jing Zhang's innovative work in correcting time series predictions showcases her expertise and commitment to advancing technology. Her contributions are paving the way for more accurate predictive models in various applications.