Rui Rachel Guan
Machine Learning Engineer @TikTok
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WORK HISTORY
Machine Learning Engineer @TikTok
Integrated over 100 features related to user behaviors, order info etc. into training the intelligent routing model. Achieved a significant increase in the customer satisfaction rate from 59% to 67.4%. Iteratively improved the model, resulting in cumulative benefits such as a 7% increase in the US market through AB testing- Utilized large language models (LLMs) to assess user satisfaction and Chatbot resolution capabilities during conversations. Achieved above 90% alignment rate through prompt tuning and sample construction. Enhanced the intelligent evaluation system, providing technical support for improving routing recognition accuracy- Developed transformers-based inbound volume forecasting systems from scratch, improving the average acceptance rate from 48% to 74% and reducing variance from 52% to 25%. Incorporated real-time data trends and business logic modifications to ensure accurate and relevant forecasts.
EDUCATION
Yale University
Master of Science - MS, Statistics and Data Science
Wuhan University
Bachelor of Science - BS, Mathematics and Statistics
ABOUT RUI RACHEL GUAN
I\'m Rachel Guan, currently a machine learning engineer at TikTok. Before that, I graduated from Yale University under the department of Statistics and Data Science.My research interest lies in machine learning, computer vision, trustworthy AI and quantitative genetics. My work experience includes designing computer vision algorithm, building large language models, constructing databases, analyzing data in material science, social media, facial recognition system, and modeling in view of statistics or machine learning.
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