Xin Guo is a seasoned data scientist with extensive experience in predictive modeling and data analysis. Currently serving as a Data Scientist Fellow at Techlent since June 2019, Xin successfully led the development of a credit risk model using advanced statistical techniques. Previously, Xin held the role of Senior Data Scientist/Analyst at Axens, where a dynamic pricing engine for catalysts was developed, achieving significant model performance improvements. As a Data Analyst/Scientist at Heraeus, a forecasting model was built to optimize inventory management. Xin's earlier career involved roles at Marble Point Energy Ltd, focusing on M&A due diligence, and at Johnson Matthey, where impactful production strategies were delivered. Educational credentials include a Master of Engineering in Chemical Engineering from Columbia University and a Bachelor's degree in Polymer Science from Purdue University.
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