Yingjue Zhou

Yingjue Zhou is a data scientist with extensive experience in the field. He worked as a Lead Data Scientist at Macy's from January 2019 to August 2021.1 During his time at Macy's, he was involved in several key projects:

1. Developing demand forecast algorithms for new fashion products using Bayesian Inference.1
2. Improving new product allocation policies among fulfillment centers using Random Forest Regression models.1
3. Optimizing the supply chain through simulation-based optimization.1
4. Working on Hold & Flow and Dedicated Fulfillment projects to optimize inventory management and fulfillment operations.1

Prior to Macy's, Yingjue held positions at:

• Sears Holdings Corporation as a Data Scientist (January 2018 - January 2019)1
• Deccan International as an Operations Research Developer (August 2015 - January 2018)1
• Oklahoma State University as a Graduate Research Assistant (January 2009 - May 2015)1

Yingjue has a strong background in programming, data science, and optimization. He holds a Ph.D. in Industrial Engineering and Management from Oklahoma State University.1 Currently, Yingjue works as a Data Scientist at The Trade Desk, a position he has held since September 2021.1