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Machine Learning It Security

Location:
Ho Chi Minh City, Vietnam
Posted:
May 14, 2025

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Resume:

CONTACT

SKILLS

087*******

***********.**@*****.***

Ho Chi Minh, District 7

Github

Linkedin

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



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