Maggie Mengqi Tang
About Maggie Mengqi Tang
Maggie Mengqi Tang is a Machine Learning Scientist III at Expedia Group with a background in data science and machine learning.
Current Position at Expedia Group
Maggie Mengqi Tang currently serves as a Machine Learning Scientist III at Expedia Group. She has been with the company in this role since 2020. Maggie operates out of the Greater Chicago Area, where she applies her expertise in machine learning to advance various projects within Expedia.
Past Experience at Expedia Group
Before her current role, Maggie held the position of Data Scientist II in the Comet Performance Marketing team at Expedia Group from 2016 to 2021. During her tenure, she made significant contributions to performance marketing, leveraging her skills in data science to optimize advertising and marketing strategies.
Previous Employment at CivicScience
Maggie Mengqi Tang worked as a Data Scientist at CivicScience from 2014 to 2016. During her two years with the company, she applied her statistical and data analysis skills to contribute to the organization's data-driven decision-making processes.
Educational Background
Maggie graduated from Carnegie Mellon University with a Master in Statistical Practice, majoring in Machine Learning and Statistics. Prior to that, she completed her Bachelor of Science in Mathematics and Economics at Washington University in St. Louis. Her academic background has equipped her with a strong foundation in statistical analysis and machine learning techniques.
Key Projects and Contributions
While at Expedia Group, Maggie enhanced model precision for ad relevance by adjusting the BERT design, increasing accuracy from 80% to 90%. She spearheaded the expansion of SEM Ad Copy Service across all six Expedia Group brands, incorporating over 30 novel templates and running A/B tests to identify effective strategies. Her efforts resulted in a 20% improvement in ad relevance scores and a 14% boost in gross profit. Maggie also advocated for the utilization of machine-generated content for testing in the SEM group.