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Han Lu is a skilled data scientist with extensive experience in developing predictive models and conducting data analysis across various industries. Currently serving as a Data Scientist Fellow at Techlent, Han has led the creation and implementation of credit risk models utilizing advanced statistical techniques. Previous roles include Senior Data Scientist/Analyst at Axens, where Han developed a dynamic pricing engine for catalysts, and Data Analyst/Scientist at Heraeus, focusing on forecasting and inventory optimization. Han's foundational experience includes contributions as a Data Analyst at Marble Point Energy Ltd. and a Consultant at Johnson Matthey, emphasizing due diligence and production process improvements. Han holds a Master of Engineering in Chemical Engineering from Harvard University and a Bachelor's degree in Polymer Science from Beijing University of Chemical Technology.