Chenlei Zhu

About Chenlei Zhu

As a Data Scientist at Rently, I work with the product team to analyze user behavior, optimize features, and drive growth. I use SQL, R, Python, and Tableau to collect, clean, and visualize data, and apply statistical and machine learning techniques to generate insights and recommendations. I have successfully contributed to several projects, such as designing and testing a new recommendation system, improving user retention and engagement rates, and identifying key drivers of churn and conversion. I am passionate about data and its potential to create value and impact for businesses and customers. I graduated with a Master of Computer and Information Science from Columbia University, with a focus on Applied Analytics. There, I gained a solid foundation in data science, analytics, and engineering, and developed skills in data mining, modeling, and communication. I also completed internships at HULA and Fundación Conecta Mayor, where I applied my knowledge and skills to real-world problems and scenarios. I am a detail-oriented, confident, and team-oriented data analyst, who is always eager to learn new tools and techniques, and to collaborate with diverse stakeholders. My goal is to leverage my data science and product analytics expertise to create innovative and user-centric solutions that enhance customer experience and satisfaction.

Experience

1. Decision Scientist Ii

   ZipRecruiter

   Sep 2025 — Present

Education

• Columbia University

  Master of Computer and Information Science

  2021 — 2022

• University of Shanghai for Science and Technology

  Bachelor's degree

  2017 — 2021