Guoxi Lu
Melbourne,VIC
Summary
Detail-oriented and driven Bachelor of Computer Science Advanced (Honours) student at Monash University with a strong foundation in data analytics, statistical modelling, and programming. Experienced in data extraction, cleansing, and analysis using Python, R, and SQL, with additional proficiency in Microsoft Excel and data visualisation tools like Tableau. Skilled at handling large datasets, conducting performance monitoring, and employing statistical techniques to uncover actionable insights. Adept at collaborating in team environments and communicating findings clearly through reports and presentations.
Overview
1
1
year of professional experience
Work History
MIG
Monash University, in Partnership With Microsoft
01.2025 - Current
- Identified opportunities for leveraging data science techniques to drive innovation across multiple domains.
- Promoted innovation within the division by encouraging creative problem-solving techniques among team members.
- Cultivated culture of continuous improvement by encouraging innovation and critical thinking within team.
- Led content discussions and workshops to foster creativity and innovation in content creation processes.
- Advised leadership on technology trends relevant to business goals, fostering innovation throughout the organization.
Data Science Research Assistant
AiLECS Lab
02.2024 - 11.2024
- Extracted, cleaned, and prepared datasets for deepfake detection research, enhancing data quality for machine learning models
- Utilized Python (Pandas, NumPy) and SQL to process large data sets efficiently
- Conducted statistical analyses and presented insights through visualizations in Tableau and Matplotlib
- Conducted data analysis for AI research projects, enhancing algorithm performance and contributing to publications in machine learning journals
Education
BACHELORS DEGREE IN COMPUTER SCIENCE ADVANCED (HONOURS) -
Monash University
11.2026
Skills
- Languages: Proficient in Python, R, SQL, Java
- Data Science/ML: Tensorflow, Pandas, NumPy, CV, Matplotlib, Tableau
- Databases: MySQL, SQLite
- Libraries(Python): Streamlit
Personal Projects
Sportsbet Data and Trend Analyser
• Analyzed extensive Sportsbet data to identify patterns in player performance and trends to optimize betting strategies.
• Extracted, cleaned, and visualized large datasets using Python in addition to data visualisation tools like Matplotlib.
• Applied statistical methods and machine learning techniques to identify high-value players and effective multis for betting.
• Delivered actionable insights through detailed reports and presentations, showcasing trends and recommendations.
Timeline
MIG
Monash University, in Partnership With Microsoft
01.2025 - Current
Data Science Research Assistant
AiLECS Lab
02.2024 - 11.2024
BACHELORS DEGREE IN COMPUTER SCIENCE ADVANCED (HONOURS) -
Monash University
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