Peng Zhou

Experience

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  DongFeng NISSAN

  Jul 2017 - Aug 2017

  Trainee

  Learnt automotive industry expertise through fieldworkCoordinated 6 interns from different backgrounds in teams to complete the training tasksPerformed a stress analysis of the designed model by ANSYS and proposed improvements

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  InsideSherpa

  Feb 2020 - now

  Trainee

  1.BCG Strategy Consulting Virtual Experience Program:Market ResearchData AnalysisUnderstanding consumer needs Client Recommendation2.BCG Digital Transformation Virtual Experience Program:Market ResearchUse Case Development / Prioritization EconomicsScaling3.Deloitte Technology Consulting Virtual Internship:Understanding Cloud Computing Cloud Feasibility Assessment Cloud Readiness Assessment Client DiscoveryDesign a Business CaseConsiderations For Mobilisation Define the project approachConduct a market scanFurther analysis & solution presentation4.JPMorgan Chase & Co. Software Engineering Virtual ExperienceEstablishing Financial Data Feeds Frontend Web DevelopmentData Visualization with Perspective Show less

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  XZ (Xiaozao) Education

  May 2020 - now

  Trainee

  Data Analysis:Using Bailian Group membership data (product data, membership data, sales data) to analyze, assess the sales growth after the membership system was built, analyzed the correlation between the membership system and sales revenue, using clustering analysis model to find high-value members and precise marketing to uncover value.SQL Application:Using SQL to aggregate Sony's sales and product data, evaluate the best-selling products, and combine members and data to analyze the difference between members and non-members' consumption behaviour.Data Visualization:Analyzing sales data, describing sales and customer order trends for AIRBNB room types through tableau visualization, analyzing membership and sales data to show popular trips and popular cities to stay in a map way and creating data dashboards.Meta-analysis:Analyzing the three major data reports of Jingdong product sales and users, deriving user buying trends and predicted user buying behaviour; using SQL for data filtering and splicing to find user buying influence factors, and visualizing the data exploration results through tableau to present the dynamic changes of buying trends of different products and predicting consumer buying behaviour. Show less