Experience

China Asset Management Co., Ltd.

• China
• Investment Management
• 1 - 100 Employee

• International Market Analyst

  • Feb 2023 - Present



Founder H Fund

• Beijing, China

• Investment Manager Intern

  • Jun 2021 - Jul 2021

  - Conducted field researches on corporate clients, like embryo-stage companies, interviewing senior managers & experts to evaluate clients' relative competency in the industry and forsee potential challenges to determine investment risks and returns - Performed data research from disclosed industry reports, interpreting business trends and propensities with data analysis and visualization to support investment decisions and formulate reports - Participated in direct meetings with clients, carefully examining the strengths and questionable doubts from their business reports, comparing with leading companies' financial reports to formulate and categorize investment recommendations Show less



Founder Securities Co., Ltd.

• United States
• Financial Services
• 100 - 200 Employee

• Research Assistant Intern

  • Jun 2020 - Jun 2021

  - Directed multiple data analyses on a project basis based on macroeconomic variables, to predict future fluctuations and trends or propensities of the market, incorporating these insights into product sales strategies - Assisted multiple industry reports' composition, collecting a large volume of reports and papers on international monetary and fiscal policies, cross-referencing these policies and their aftermath and predicting the suitable future policies in China - Completed macro-economic analysis, forecasting the gold prices' performance in the period of time with multivariate regression analysis, publishing a CPCI indexed paper Show less



IBM

• United States
• IT Services and IT Consulting
• 700 & Above Employee

• Blue Pathway Intern with Retrun Tickets

  • Jun 2019 - Sep 2019

  - Assisted in designing the quality analysis for business orders, known as the pipeline analysis, sustainably deploying the data ming project with CRISP-DM methods to monitor and predict the order progressions in each financial quarter - Coordinated with international IBM data scientists to generate models for future financial quarter's target settings by channel, incorporating business senses into data analysis project and interpreting results to head managers - Self-learned SPSS Modeler via utilization of resources in IBM platforms, carrying out three consecutive sessions of its application in an amelioration on daily workflow, persuading direct mentor & head manager's switching to SPSS Modeler Show less