Daniel (Chun-Yu) Lin is a skilled data scientist with extensive experience in machine learning, data analysis, and computational methods. Currently serving as a Data Scientist at Vertiv since March 2024 and previously as a Data Scientist Fellow at Techlent, Daniel has a strong background in natural language processing, predictive modeling, and various machine learning techniques including regression, classification, and clustering. Daniel's previous roles include research positions focusing on electrode materials and nanostructured films at the University of North Texas, where significant contributions were made in the development of computational algorithms and modeling. Daniel holds a Master's degree in Analytical Chemistry and a PhD in Materials Science and Engineering from the University of North Texas.
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