Ziruo(jane) Zhang
About Ziruo(jane) Zhang
Ziruo (Jane) Zhang is a Data Business Analyst with extensive experience in business analytics and statistical consulting. She has a strong educational background in Mathematics and Statistical Practice, and is proficient in various data analysis tools and techniques.
Current Role as Data Business Analyst
Ziruo Zhang currently holds the position of Data Business Analyst at 思特沃克软件技术（中国）有限公司, where she has been employed since 2021. In this role, she utilizes her expertise in data analysis and business intelligence to support various projects. Her proficiency with tools such as SisenseData Middle Platform and Google Cloud Platform (Big Query) enhances her ability to deliver actionable insights. She applies Agile Development methodologies, engages in Project Management, and conducts Requirement Analysis to ensure project success.
Previous Experience at Management Science Associates, Inc.
Ziruo Zhang worked as a Business Analytics Associate II at Management Science Associates, Inc. from 2019 to 2020 for 11 months. During her tenure in the Greater Pittsburgh Area, she contributed to business analytics projects, applying her skills in data analysis to support decision-making processes. Her experience in this role provided her with valuable insights into the analytics industry.
Educational Background in Mathematics and Statistics
Ziruo Zhang obtained her Bachelor of Science degree in Mathematics from Beijing Normal University, where she studied from 2014 to 2018. She furthered her education at Carnegie Mellon University, earning a Master of Science in Statistical Practice from 2018 to 2019. Additionally, she attended the University of California, Berkeley for Summer School in Finance in 2016. This educational background has equipped her with a strong foundation in quantitative analysis and statistical methods.
Technical Skills and Expertise
Ziruo Zhang possesses a range of technical skills relevant to data analysis and visualization. She is proficient in R Shiny, ggplot2, and Python libraries such as Seaborn and Matplotlib, which she uses to create effective reports for clients. Her expertise also includes practical experience with statistical techniques like Principal Components Analysis, K-means clustering, and Bayesian Networks. This technical proficiency supports her work in business intelligence and data-driven decision-making.
Experience as Teaching Assistant at Carnegie Mellon University
Ziruo Zhang served as a Teaching Assistant at Carnegie Mellon University from 2018 to 2019 for 9 months. In this role, she supported faculty and students in the Statistical Practice program, providing assistance with coursework and research projects. This experience contributed to her understanding of statistical concepts and enhanced her communication skills in an academic setting.