Xurui Chen

Xurui Chen has a wide range of work experience, beginning in 2016 as a Research Assistant at Sun Yat-sen University. In 2017, they took on a role as a Data Analyst at Kingdee International Software Group. In 2019, they worked as an Analyst Internship at DRAW Brooklyn, a Data Analyst at Ruder Finn, a Data Scientist at DIG labs, and was a member of the NYU CUSP Capstone project at Intersection Co., where they analyzed the relationship between LinkNYC and NYC demographics and household broadband access, explored NYC 311 request frequency and type change with LinkNYC kiosks built, visualized the spatial pattern with Python (geopandas), and built A/B test to measure the significant impact of LinkNYC on NYC 311 requests frequencies on Python. Currently, Xurui Chen is a Data Modeling at Nassau County.

Xurui Chen earned a Bachelor of Science in Applied Statistics from Sun Yat-sen University between 2014 and 2018. Following that, they obtained a Master's degree in data science (urban) from New York University between 2018 and 2019.