Guiping Zhao
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolGuiping Zhao is an aspiring data analyst and Rotman MMA candidate with seven years of hands-on experience applying economics, statistics, and machine learning to finance and scientific research. She has built predictive time-series and Bayesian models, processed million-record astronomical datasets with MCMC methods, and boosted model accuracy and reporting efficiency across roles using Python, R, SQL, and VBA. In industry she delivered actionable commodity-forecasting models and automated dashboards that improved trading decisions and reduced manual work, and in academia she collaborated across departments to publish interdisciplinary findings. Known for blending advanced statistical techniques (including Bayesian inference and MCMC) with practical automation and visualization, she excels at turning complex data into clear, decision-ready insights.
7 years of coding experience
Master's degree Master of management analytics, Master's degree Master of management analytics at University of Toronto - Rotman School of ManagementBachelor of Science - BS Statistics and Econmics, Bachelor of Science - BS Statistics and Econmics at University of TorontoProgramming languages (1)
Github contributions (1)
tencentyun/qcloud-documents
May 2019 - Aug 2021
腾讯云官方文档
Contributions:32 commits, 32 pushes in 2 years 3 months
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