Xinrui Li is a Senior Data Scientist in Atlanta with 11 years of experience applying ML and analytics to supply chain and forecasting challenges. She has advanced a career at Logility—moving from consulting and business analysis into data science—where she built DeepAR-based time series tools that improved sales forecast accuracy by 10% and led production ML deployment pipelines using Azure ML and Azure DevOps. Now at UPS, she combines strong domain knowledge in supply chain engineering (MS) with an MS in Analytics to translate stakeholder needs into deployable models and productized insights. Pragmatic and product-focused, she bridges technical implementation and operational release processes, ensuring models move beyond prototypes into integrated release pipelines. An early background in computer science and long tenure supporting presales/demo environments gives her a rare blend of customer-facing instincts and production engineering rigor.
11 years of coding experience
Master of Science - MS Analytics, Master of Science - MS Analytics at Georgia Institute of Technology
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Macao Polytechnic Institute
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