Katrina Zhou
About Katrina Zhou
Katrina Zhou is a Marketing Specialist at TuSimple, where she focuses on customer segmentation and acquisition strategies using advanced statistical techniques. She holds a Bachelor's degree in International Economics from The University of British Columbia and a Master's degree in Marketing Analytics from the University of Southern California.
Current Role at TuSimple
Katrina Zhou serves as a Marketing Specialist at TuSimple, a company focused on autonomous trucking technology. She has been in this role since 2020, contributing to the growth and promotion of the company's innovative solutions. Her responsibilities include conducting marketing campaign evaluations and utilizing advanced statistical techniques for customer segmentation and acquisition strategies.
Education and Expertise
Katrina Zhou holds a Bachelor's degree in International Economics from The University of British Columbia, where she studied from 2013 to 2017. She furthered her education with a Master's degree in Marketing Analytics from the University of Southern California, completing her studies in 2020. Additionally, she participated in an Executive Education Program in Digital Marketing & Analytics at MIT Sloan School of Management in 2021.
Professional Background
Katrina Zhou has a diverse professional background, having interned at several notable organizations. She began her career at Shenzhen Capital Group Co., Ltd in 2014, followed by an internship at Deloitte China in 2015. In 2017, she worked at SCGC USA, and later held a position as a product manager in the Investment Banking department at China Merchants Bank from 2018 to 2019. She initially joined TuSimple as a Marketing Intern in 2020 before advancing to her current role.
Technical Skills and Tools
Katrina Zhou possesses strong analytical skills and is proficient in using various statistical tools and programming languages. She employs K-means, Hierarchical, and Two Step Clustering techniques for customer segmentation. Her expertise includes using SPSS, SAS, and JMP for marketing analysis, as well as Excel Solver for programming tasks. She is skilled in data visualization using Tableau and R's ggplot2 and Shiny.
Marketing Strategies and Techniques
Katrina Zhou utilizes a range of statistical methods and models to inform marketing strategies. She applies Logistic Regression, Neural Networks, and K-Nearest Neighbor techniques for customer development. Additionally, she conducts primary research through surveys and focus groups, and employs RFM Scoring and CLV Analysis for customer valuation, enhancing TuSimple's marketing efforts.