CONTACT
SKILLS
***********.**@*****.***
Ho Chi Minh, District 7
Github
CERTIFICATES
Machine Learning & AI: Scikit-learn,
TensorFlow/Keras, PyTorch
Data Analysis/Data Visualization:
Pandas, NumPy, Matplotlib, Seaborn,
Plotly
IT Security Basics: OWASP, Nmap,
Wireshark, Metasploit
Market Research: Google Analytics,
SEMrush, Scrapy
OS Troubleshooting:
Linux: Bash, Systemd, Syslog
Windows: PowerShell, Sysinternals,
Event Viewer
Web Development:
Front-end: HTML/CSS (SCSS),
JavaScript
Back-end: Node.js, PHP
Database: MySQL, MongoDB (NoSQL)
Programming Languages:
Python, Java, Nodejs, C/C++
PROFILE
I am a passionate and responsible student with a keen interest in ML/AI, experienced in working with frameworks like TensorFlow, PyTorch. I thrive both independently and in collaborative teams, adapt quickly to new challenges, and perform well under pressure. Friendly, reliable and a fast learner, I’m seeking an internship in ML/AI or Data Science to deepen my skills in model development and large language models while contributing to innovative projects in a professional environment. EDUCATION
Bachelor of Computer Science 2021 - Present
Ton Duc Thang University - 4'th Year
Proficient in:
AI: Natural Language Processing, Computer Vision
Massive Data Processing
Knowledge Discovery and Data Mining
Computer Security
Management of Information Systems
IoT Fundamentals
Foundations of Cybersecurity
Play It Safe: Manage Security Risks
Connect and Protect: Networks
and Network Security
Tools of the Trade: Linux and SQL
Aptis ESOL General: Ovlerall C
ACTIVITY
ETIT club - Communications Department Member
Captured high-quality photographs for club events and promotional materials.
Edited images to create engaging visual content for social media and other platforms.
Managed and organized digital image data to ensure efficient retrieval and usage.
2021 - 2023
PROJECTS
Analysis of Management Information Systems
PDF Malware Detection & Feature Extraction
Overview: Developed a strategic proposal to enhance PNT Company's Management Information System, addressing security, scalability, and automation issues.
Achievements: Proposed a microservices architecture, automated processes, improved security with the NIST framework, and optimized user experience.
Overview: Developed a Python system for robust malware detection by extracting key PDF features. Retrieve metadata, binary attributes, and object tree structures. Integrated safe extraction and caching to enhance both traditional and deep learning analyses.
Achievements: Engineered robust modules for detailed tree extraction, entropy computation, and suspicious keyword analysis, significantly improving detection accuracy and efficiency.
Key Tools/Techniques: PyPDF2, pdfminer, advanced regex, logging, NumPy, and pandas.
2022 - 2023
2024 - Present
NGUYEN HOANG PHUC
COMPUTER SCIENCE