Xinrui Tan
Turner,Australia
Summary
I am an independent and self-motivated undergraduate looking for an internship in a data science/computer science-related area where I can utilise the extensive knowledge I have gained during my course and contribute to as much a large part of the project as possible. The candidate is well-versed in programming (C/C++, Python, Java) and fundamental data analysis with Python.
Overview
1
1
year of professional experience
Work History
Document Management Specialist Intern
BASF Digital Hub
01.2024 - 02.2024
- Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.
- Gained valuable experience working with database of chemical factory documents, applying learned concepts directly into relevant work situations.
- Gained hands-on experience in document management systems, increasing proficiency and expanding technical skill set.
- Gathered and summarized customers' requirements for the Documentum system
- Gathered, organized and input information into digital database.
- Managed access control to ensure data security and compliance with regulatory standards
Capstone Project Team Leader
The University of Queensland
07.2023 - 11.2023
- Evaluated team performance regularly, providing constructive feedback and opportunities for growth through targeted training initiatives.
- Adopted Kanban board to monitor and manage project progress, and set milestones to ensure completion of key features matches the project timeline.
- Facilitated regular status meetings for information sharing and progress updates among team members.
- Improved project source code management using Git.
Researcher
06.2023 - 11.2023
- Gathered and organized information for research purposes
- Conducted thorough literature reviews to identify gaps in knowledge and inform future research directions
- Developed customized neural network model based on Mobile Vision Transformer using TensorFlow and Hugging Face platform, to improve efficiency and accuracy of galaxy morphological classification.
- Published a paper titled "Accurate and Efficient Galaxy Classification Based on Mobile Vision Transformer" to the International Conference on Machine Learning and Automation (CONF-MLA 2023)
Research Participant and Team Leader
Harvard
03.2023 - 05.2023
- Overview: Online Research Seminar on Neural Networks with Prof Pavlos Protopapas at Harvard
- Worked in teams to solve problems
- Set performance expectations for the team, monitoring progress towards goals and providing constructive feedback as needed
- Established open and professional relationships with team members
- Produced a research report on our work and get a grade of A-
Education
Master of Machine Learning And Computer Vision -
The Australian National University
Canberra, ACT07.2026
Bachelor of Computer Science - Data Science
The University of Queensland
Brisbane, QLD07-2024
Bachelor of Science - Computer Science And Technology
Jiangsu University
Zhenjiang, China07-2022
Skills
- Software development
- Proficient in C/Java/Python
- Project lifecycle management
- Software testing and verification
- Document management
- Stakeholder engagement
- Requirements gathering
- Teamwork and collaboration
Languages
Chinese Mandarin
English
Timeline
Document Management Specialist Intern
BASF Digital Hub
01.2024 - 02.2024
Capstone Project Team Leader
The University of Queensland
07.2023 - 11.2023
Researcher
06.2023 - 11.2023
Research Participant and Team Leader
Harvard
03.2023 - 05.2023
Master of Machine Learning And Computer Vision -
The Australian National University
Bachelor of Computer Science - Data Science
The University of Queensland
Bachelor of Science - Computer Science And Technology
Jiangsu University
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