Junyi Gu is a highly skilled data science financial analyst with experience at lululemon, where responsibilities included developing a daily revenue forecasting model, optimizing data flow processes, and delivering predictive planning reports to enhance financial performance. Additional roles include a senior financial and predictive planning analyst, focusing on machine learning models for revenue and OPEX forecasting. Junyi has also interned at Cenovus Energy, creating BI tools and automating data integration, and at Weidi Precision Technology, where insights were provided for product development and market trend forecasting using predictive analytics. Junyi's academic background includes dual bachelor's degrees in Materials Science and Engineering, Business Administration from Beijing Institute of Technology, and a Master’s degree in Business Analytics from The University of British Columbia, achieving high GPAs throughout.
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