About

Luyao Peng is a highly skilled data scientist with 3.61 years of relevant experience. Currently working as a data science fellow at The Data, Luyao has a proven track record of delivering results in the field of data science. Prior to joining The Data, Luyao worked as a senior research engineer at Bytedance, where he was responsible for developing and implementing machine learning algorithms to improve the performance of the company's recommendation systems. Before that, he worked as a research intern at CTB, a division of McGraw-Hill Education, where he gained valuable experience in conducting research and data analysis. Luyao holds a Bachelor's degree in Computer Science from Capital Normal University and a Master's degree in Computer Science from Beijing Language and Culture University. He also holds a Ph.D. in Computer Science from the University of California, Riverside, where he specialized in machine learning and data mining. Luyao's technical skills include expertise in research and data analysis, as well as experience with a range of programming languages and tools. He is a proficient user of Python, R, Java, and SQL, and has experience with Hadoop, Spark, and other big data technologies. As a data scientist, Luyao is passionate about using data to solve complex problems and drive business value. He is a skilled communicator and collaborator, with experience working in cross-functional teams to deliver successful projects. Overall, Luyao Peng is a talented and accomplished data scientist with a strong academic background and a proven track record of success in the industry. He is a valuable asset to any organization looking to leverage data to drive business growth and innovation.