Kai Kang
About Kai Kang
Kai Kang is a Data Analyst with a Master's degree in Data Science and Business Analytics from CentraleSupélec and ESSEC, and a Bachelor's degree in Financial Management from Wuhan University of Technology. He has experience in utilizing Tableau for market analysis and developing algorithms for dynamic pricing.
Work at Numa
Kai Kang has been employed as a Data Analyst at Numa since 2022. In this role, he focuses on analyzing data to support business decisions and improve operational efficiency. His work includes engaging in projects that utilize real-time data to build predictive models, particularly in identifying property similarities. This position allows him to apply his analytical skills in a remote working environment.
Education and Expertise
Kai Kang holds two Master's degrees in Data Science and Business Analytics, obtained from CentraleSupélec and ESSEC, respectively, during the period of 2021 to 2022. He also earned a Bachelor's degree in Financial Management from Wuhan University of Technology, where he studied from 2017 to 2021. His educational background equips him with a strong foundation in data analysis and business strategy.
Data Analysis Skills
Kai Kang has demonstrated proficiency in data analysis tools and techniques. He utilized Tableau to analyze market demand trends by plotting pickup curves in relation to lead time. Additionally, he developed a dynamic pricing algorithm designed to optimize demand capture and enhance performance. These skills are integral to his role as a Data Analyst.
Projects and Initiatives
In his current role, Kai Kang is involved in a project that focuses on identifying property similarities to build predictive models. This initiative leverages real-time data to enhance the accuracy of predictions and improve decision-making processes. His contributions to such projects highlight his analytical capabilities and commitment to utilizing data for strategic insights.