Edward Zhang
Women in STEM: Does the Gender Equality Paradox Hold in China?
This is an independent research project under the guidance of Professor Robin Huang (CUHK Faculty of Law). This paper investigates the validity of the gender equality paradox within the context of STEM employment in China. Globally, the paradox states that as gender equality in a society increases , female representation in STEM fields decreases. Using provincial-level data, we investigate the correlation between gender equality and female participation in STEM among 28 provinces in China. Contrary to the global pattern, our results indicate a weak positive correlation between the two, suggesting that in the Chinese provinces with higher gender equality, there tends to be higher female representation in the STEM fields.
IB Extended Essay: Comparing Sentimental Analysis Algorithms
This Extended Essay investigates the effectiveness of three sentimental analysis algorithms (Naive Bayes, Support Vector Machines, Recurrent Neural Networks) on an IMDB review dataset. My results showed that Support Vector Machines not only achieved the highest accuracy, but was the most efficient too. This underscores SVM’s strong ability to handle non-linearly separable data using the kernel trick. Recurrent Neural Networks' performance was competitive, suggesting that in more extensive and complex datasets, the RNN’s long-term dependency-capturing capabilities could become more prominent.
Software Engineer Employment in Hong Kong
Assisting in PhD research:
- Investigating the effectiveness of 4-year computer science degrees versus coding bootcamps in equipping students with necessary skills for the tech industry
- Conducted web scraping of jobsdb.com, to identify patterns in the soft and hard skills sought by companies for software engineers
- Web scraping coding bootcamps and university course data to assess the skills taught in different educational programs
​
- Github repository: https://github.com/zhange2/Web-Scraping