英文版本简历,Nothing Special :-)

Resume


Zeqiang Fang

Contact Me

Email: zeqiang.fang@foxmail.com; Blog: zeqiang.fun; Github: fang-zeqiang

Education

University College London (UCL) Sep.2020 - Sep.2021 Centre of Advanced Spatial Analysis
MSc. Spatial Data Science & Visualization (full-time) Supervisor - Steven

University of California, Berkeley (UCB) July.2018 - Aug.2018 Haas School of Business Investments (Summer Session) Lecturer - Ethan GPA: 3.504.0

Nanjing University of Finance & Economics (NUFE) Sep.2016 - July.2020 College of Information Engineering B.Eng. Software Engineering (full-time) Surpervisor - Shuqing Li GPA: 3.755.0

Nanjing University of Finance & Economics (NUFE) Sep.2016 - July.2020 School of Finances B.Fin. Finance (part-time)

Internship Experience

112020 - 03/2021 Youdao, Inc. (NYSE: DAO) Sales Data Operation

  • Generate 10 weeks & 3 months of marketing data analysis reports and make data visualization presentation. Data pre-processing based on Pinduoduo crawler data about Youdao dictionary pen
  • Sort out the sales data in the middle platform of the database and help to improve the packaged business capability in sales database and market order
  • Maintain & operate intelligent hardware market order and summarise the indicators such as weekly and quarterly channel business rebates. Follow up the system business requirements including marketing gameplay, channel review, activation indicators, etc.
  • Following up the development of English textbook products, I complete more than 140 textbook audio segmentation processing and subtitle proofreading in 2 textbooks and help our product dictionary pens to achieve significant progress in school business

07/2019 - 09/2019 IOT Group Financial Data Analyst

  • During the internship, a total of more than 10,000 corporate financial public sentiment data were marked and cleaned. On average, 100 data were completed in advance and exceeded every day, with high work efficiency
  • I had an in-depth understanding of the financial report indicators of each company in the daily financial report, and perform sentiment analysis and label classification of public opinion information to provide data support for the model training of our team system
  • Undertake the AI e-commerce copywriting project of Sunning.com and get started quickly, using Python to process 7,500 text data in two days, helping the company reach important cooperation

01/2019-02/2019 Xiamen C&D Inc. Product Developer

  • Use PowerPoint, Photoshop, Visio and other tools in the Information Technology Department to make data visualisation solutions. To integrate resources and gain an in-depth understanding of the supply chain business of the clothing smart factory, I completed 36 slides (Smart Factory Solutions) in one day to help the team achieve the cooperation of two important projects
  • Using Axure RP and Figma software to design a total of 5 interactive pages for the company’s customer-oriented product (futures point price trading APP), speeding up the launch of the mobile software

EXTRACURRICULARS

112020-01/2021 The Spatial Analysis of Electric Vehicle Charging Points in London, UK

  • Data preprocessing: Completed nearly 12,000 data records, using the R language toolkit to automatically mark the postcodes of the 32 London administrative regions, and filter out a total of 1,058 valid data records from 2019 to 2020

  • Map production: Use R’s tmap tool to complete the spatial density analysis of the London area in 2020 and 2019 by administrative area, distinguish the density according to the color depth, and output two contrasting two-dimensional maps.

  • Spatial measurement: Use the global Moran index and the local Moran index to study the spatial autocorrelation of the charging pile density in London, first draw a spatial weight visualization map, and finally use leaflet to output and use the local Moran index visualized interactive map for 32 administrative regions Autocorrelation index Gi-score for spatial correlation evaluation