Xinran Hang
Data Analyst | Business Analyst
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About
Current student in National University of Singapore (NUS). Looking for summer internships in 2023 and full time opportunities in 2024.
Experience
JD Health. Beijing, China
Data Analytics Intern, Business Analysis Group May 2022- September 2022
- Analyzed the sales data of over the counter (OTC) medicine in different regions on the JD Health online platform using SQL and Excel.
- Forecasted sales in the Q3 and Q4 of 2022 and 2023 based on sales in Q1 2021 and Q1 2022.
- Assisted with desk research and expert interviews to understand future sales trends of supplements and medicines in different regions of China.
Market Analyst Intern, Strategy and Finance Group December 2021- April 2022
- Sorted out the participation of leading cloud vendors in domestic projects such as "Carbon Neutralization", "East Data West Computing" and "New Energy Vehicles" using financial terminals such as Bloomberg and Wind.
- Compiled and edited research reports on potential digital transformation industries such as "carbon neutrality" and "new energy vehicles" through desk research and expert interviews
- Analysed the core competitiveness of JD Cloud and other leading cloud technology companies in China.
Research Analyst Intern, TMT Group May 2021- August 2021
- Sorted out the industry chain and important companies with financial terminals including Wind and identified specific industries and companies in the telecommunicating industry that were worth investing in.
- Engaged in the production of investment strategy PPT for Q3 and Q4 of 2021 in the telecommunicating industry.
- Compiled and edited daily meeting minutes, roadshow reports and industry insights.
Education
National University of Singapore (NUS) Finance and Business Statistics, Economics Singapore
Awarded Science & Technology Undergraduate Scholarship (4 years) 2019-2024
Relevant Modules: DSA4211 High-Dimensional Statistical Analysis, ST4231 Computer Intensive Statistical Methods, MA3269 Mathematical Finance I, ST4245 Statistical Methods for Finance, ST3248 Statistical Learning I
