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Wesley Wang

Graduate StudentEmail Wesley Wang

Wesley Wang is an accomplished professional with a diverse background in Electrical Engineering and expertise in Machine Learning & AI. Graduating with a Bachelor's degree from Arizona State University, Wesley has developed a strong foundation in the field and gained valuable insights working with ASU Machine learning lab and Fova energy Inc. With a keen interest in data analysis, Wesley excels in employing EDA techniques, clustering, and Dynamic Time Warping to gain deep insights from datasets and identify potential causes of battery errors to classified 5 types of driving behaviors out of 3000+ EV customers, accelerating 7.5% of company’s R&D progress. Wesley's expertise extends to A/B testing, where they have conducted comprehensive tests on battery temperature using statistical methodologies. Additionally, Wesley has made notable contributions in ASU Active Perception Group and traffic rule violation detection, employing logistic regression and SVM models. The Northwestern University Master of Science in Machine Learning and Data Science program provides Wesley Wang a comprehensive curriculum covering a wide range of analytics topics such as statistical modeling, machine learning, and data visualization. The program's small cohort system provides a collaborative and personalized learning environment, fostering close interaction with faculty and peers. With access to cutting-edge tools and technologies, Wesley will gain practical experience through hands-on projects and case studies, preparing him for real-world challenges. The program's industry connections and career development support further enhance Wesley's professional prospects.