Panagora Asset Management
Boston, MA
Postion: Equity Intern
From September 2017 to May 2018
- Downloaded and sort daily international and Massachusetts trading data requested by the coworkers from Bloomberg
- Selected, extracted, cleaned and mapped over one hundred thousand pieces of data from multiple databases using Python, Microsoft Excel, and Microsoft SQL Server
- Cleaned and analyzed over 500 million pieces of data containing email receipt information, in order to forecast business performance.
China Securities Credit Services Co., Ltd.)
Shenzhen, Guangdong, China
Position: Data Assistant Intern
From June 2017 to July 2017
- Read through the annual reports and rating evaluations of the targeted financing platforms and collected required information including ownership structure, net asset, flow ratio and so on
- Sorted more than two thousand pieces of collected data into demanded orders and adjust the coefficient to make sure the model reflects the desired result
- Collected data regarding market share, financing capability, and geographical diversity, in order to evaluate the performance of all banks in China in 2017.
Liaoyuan.io
Boston, MA
Position: Operations Intern
From April 2016 to September 2016
- Searched for and edited startup events into push notifications using Markdown language for the convenience of Liaoyuan users to attend and develop business
- Planned online event of sharing business outfit and favored snacks to boost Liaoyuan user activity
- Originated new topics in Liaoyuan’s professional article section “Startup Freshmen” for assisting new entrepreneurs with fundamental knowledge.
China Bohai Bank
Tianjin, Tianjin, China
Position: Customer Manager Intern
From June 2015 to July 2015
- Recorded, summarized and analyzed the information of over 500 purchases of financial products cumulatively as daily meeting materials
- Studied the banking system and the procedure of selling financial products, as well as the necessary customer services in the lobby area
- Made suggestions on company arrangements to improve the human resources inefficiency