Yunzheng Zhao
About Yunzheng Zhao
Yunzheng Zhao is a Data Science Intern at Recology, with a background in Statistics and Data Science. He has experience in optimizing logistical operations and developing machine learning pipelines for waste management.
Work at Recology
Yunzheng Zhao has been serving as a Data Science Intern at Recology since 2019. In this role, Zhao focuses on leveraging data science techniques to enhance logistical operations within urban environments. The internship involves applying analytical skills to optimize waste management processes, contributing to the company's sustainability efforts.
Education and Expertise
Yunzheng Zhao holds a Bachelor's degree in Statistics from The University of Hong Kong, where he studied from 2013 to 2017. Following this, Zhao pursued a Master's degree in Data Science at the University of San Francisco, completing the program in 2020. His educational background provides a strong foundation in statistical analysis and data manipulation.
Background in Computational Science
Prior to his current role, Yunzheng Zhao worked as a Computational Scientist at Cluster Technology Limited from 2017 to 2019 in Hong Kong. During his tenure, he gained valuable experience in computational methods and data analysis, which contributed to his expertise in data science.
Technical Skills and Tools
Yunzheng Zhao possesses over two years of experience in data manipulation and machine learning, utilizing programming languages and tools such as Python, SQL, and Spark. He has applied QGIS for visualizing route optimization solutions, specifically in the context of waste management, and developed machine learning pipelines to optimize waste collection truck routes using GPS data.
Focus on Urban Logistical Optimization
Yunzheng Zhao's work emphasizes optimizing logistical operations in urban settings through data science techniques. His focus on waste management solutions demonstrates a commitment to improving efficiency and sustainability in urban environments.