I’m a Master of Analytics graduate from Massey University with a full-stack data background—skilled in data, business, and systems analysis.
Here you’ll find projects using Python, SQL, machine learning, and more—focused on real-world problems.
This project analyzes the impact of long-term unemployment on societal health and child well-being, with a focus on data wrangling.
Analyzing industry trends, regional job distribution, salary trends, and skill demand in New Zealand's job market using historical AVI data, GDP contributions, and filled jobs data. This project is a demonstration of web scraping, API usage, big data processing, data visualization, and advanced data integration techniques.
Three models (ANN, OpenCV and CNN) were trained during the study to provide classification predictions for 19 specified celebrities. Python was used, including NumPy for data manipulation, OpenCV for image processing, and various machine learning libraries such as TensorFlow and scikit-learn for model training and evaluation.
Use of various multivariate analysis techniques to explore factors influencing work-life balance indicators, including PCA(principal component analysis), FA(factor analysis), cluster analysis, correspondence analysis, canonical correlation analysis, PLS regression.
- Email: robin.yxie@gmail.com
- LinkedIn: Yue Xie(Robin)