About me
A passionate IT graduate from King’s College London with rich experience in data engineering, Python, SQL, Machine Learning, Natural Language Processing, and agile software development. I am looking for full-time IT-related opportunities.
Work history
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Finance AnalystGuangxi Yuankang Hospital of Traditional Chinese Medicine
- Nanning, Guangxi, ChinaFreelance
Created monthly financial statements, and analyzed the statements by using Excel. Created data visualizations with Tableau to present the analysis results in monthly reports.
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Software Development InternGuangxi Big Data Development Co., Ltd.
- Nanning, Guangxi, ChinaInternship
Conducted the front-end design and development using Javascript and VUE framework for a mini-WeChat program(software embedded in WeChat) called Conference Helper; Conducted back-end database design for this mini-WeChat program by using MySQL; Took part in project management by using git; Tested and wrote the test document for the software.
Skills
- Python
- SQL
- Data Analysis
- Data Collection
- Data Management
- Data Mining
- Data Research
- Database
- Database Administration
- Machine Learning
- Software Development
Education
MScKing's College London
- London, United Kingdom
Main modules: Computer Programming for Data Scientists(Python), Statistics for Data Analysis, Data Mining, Network Data Analysis, Spatial Data Analysis.
Thesis: Sentiment Analysis Using Social Media Data
Awards
CUSP London Data Dive Best Technical AbilityKing's College London
The week-long Data Dive (or “Hackathon”) is CUSP London’s flagship annual event and has been since 2015. This year in 2021, we ran a timely theme on Future Mobility from 15th March to 19th March, in support of partners such as, but not limited to, Transport for London (TfL), WSP UK, GHD Group, Westminster City Council, Ginger, Chordant Inc., RunFriendly, ActiveThings and Reed Mobility. Detailed coverage from King’s College London news. (introduction link:https://cusplondon.ac.uk/News.html)
In this competition, I worked with my team members, used variously advanced data analysis tools such as Python, R, Excel, to solve the problem How is micro-mobility usage changing over time and in different UK towns. Our outstanding ability to apply the latest and effective techniques makes us win the Best Technical Ability Prize. (Awards information link: https://www.kcl.ac.uk/news/looking-towards-the-future-of-urban-mobility)