Liang QIAO
SYDNEY,NSW
Summary
Master’s student in Information Technology with strong expertise in Python, machine learning, and data analysis. Experienced in developing data-driven solutions to detect anomalies in large datasets, with applications in cybersecurity and data protection. Demonstrated ability to design and implement analytical models to identify potential data breaches. Seeking to contribute technical and analytical skills to an AI-driven data analysis or cybersecurity role.
Overview
1
1
year of professional experience
Work History
AI Data Analyst
UNSW
01.2026 - 02.2027
Data Exfiltration Detection System
UNSW Coursework Project | Sydney, Australia
2025
- Developed machine learning-based anomaly detection model, improving identification of abnormal data transfer behaviour
- Processed and analysed large-scale datasets with Python (Pandas, NumPy), extracting meaningful features for enhanced insights
- Applied statistical and machine learning techniques to improve detection accuracy by approximately 20%
- Designed data processing workflow for real-time monitoring and analysis, facilitating timely decision-making
- Collaborated within a team to evaluate model performance and optimize system efficiency
Education
Master of Science - Artificial Intelligence
University of New South Wales
Sydney, NSW12-2026
Skills
- Programming: Python, SQL
- Data Analysis: Pandas, NumPy, Matplotlib
- Machine Learning: Scikit-learn
- Tools: Git, Linux
- Concepts: Data Analysis, Machine Learning, Cybersecurity Fundamentals
Achievements
- Achieved strong academic performance (WAM above 70)
- Completed multiple projects involving machine learning and data analysis
Extra-Curricular Activities
- Engaged in self-directed learning in AI and cybersecurity through online platforms
- Participated in coding practice and data-related problem solving
Timeline
AI Data Analyst
UNSW
01.2026 - 02.2027
Master of Science - Artificial Intelligence
University of New South Wales