Victor Tran is a data scientist at Intel Corporation since August 2017, specializing in predictive modeling, statistics, and machine/deep learning to analyze structured and unstructured data. Victor has experience as an UPW TD Ops Engineer, supporting operations and technology development within the purification process at Intel. Previously, Victor worked as a data scientist at Intel Labs, focusing on developing anomaly detection algorithms for manufacturing applications, and served as a teacher assistant in the chemical engineering department at UC San Diego during the pursuit of an MS degree. Educationally, Victor holds a Master of Science in Chemical Engineering and a Bachelor of Science in the same field from UC San Diego, along with an Associate of Science in Biology from Foothill College.
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