Wayne Yu
About Wayne Yu
Wayne Yu serves as the VP of Data Science at CompStak®, where he has worked since 2018. He specializes in developing machine learning algorithms for the commercial real estate industry and has a strong background in data science and finance.
Work at CompStak
Wayne Yu has been serving as the Vice President of Data Science at CompStak since 2018. In this role, he focuses on developing machine learning algorithms tailored for the commercial real estate industry. Prior to his current position, he worked as a Data Scientist at CompStak from 2016 to 2018 and as a Senior Research Analyst from 2013 to 2016. His tenure at CompStak spans a total of six years, during which he has contributed to various data-driven projects that enhance the company's offerings in real estate analytics.
Education and Expertise
Wayne Yu holds a Master of Science in Real Estate from New York University, where he studied from 2011 to 2013. He also earned a Bachelor of Arts in Land Economics from National Chengchi University, completing his degree from 2005 to 2009. His educational background supports his expertise in developing machine learning algorithms for the commercial real estate sector. He possesses advanced skills in Python programming and QGIS, which he applies in data science projects and real estate finance analysis.
Background
Before joining CompStak, Wayne Yu worked as a Research Assistant at National Chengchi University from 2010 to 2011. His experience in research laid the groundwork for his analytical skills in the real estate field. Wayne's professional journey in the Greater New York City Area has been primarily focused on data science and analytics within the commercial real estate industry, where he has developed a strong foundation in data-driven decision-making.
Professional Experience
Wayne Yu's professional experience includes significant roles in data science and research. He worked as a Senior Research Analyst at CompStak from 2013 to 2016, where he analyzed data to support real estate investment decisions. Following this, he transitioned to a Data Scientist role from 2016 to 2018, further honing his skills in machine learning. His current position as VP of Data Science has allowed him to leverage his expertise to drive innovation in real estate analytics.