About Me

I am Ben, a freelance data scientist on UpWork with work experience such as the private sector, non-profits organizations, and the Canadian government related to technology. My core foci are artificial intelligence, software development, and cybersecurity. I am known for delivering data-driven solutions that directly influence and improve business strategies.

Toastmaster

I am a member of Toastmasters International since 2019; I currently belong to the McGill University Toastmasters Club. My journey has taken me to virtual meetings across Ottawa, Montreal, Quebec, Washington D.C., Geneva, and Japan. Toastmaster has helped by developing a strong command of public speaking, leadership, and presentation. It has improved my clarity, my confidence, and my adaptability when presenting complex ideas to different audiences.

Projects:

WASDE REVENUE IN 2024:

Description:

The project uses PyTorch for AI applications to analyze WASDE revenue. Matplotlib creates histograms explaining export and import revenues. Pandas is used for data modeling and cleaning. LangChain prompts questions and answers for the LLM.

github

Chatbot Speech Recognition in Generative AI:

Description:

The goal of the project is to develop a chatbot using Google Speech technology in order to analyze information about the status of the Canadian economy in 2025 (Toronto Dominion Economic). The chatbot will utilize speech recognition to provide answers based on audio files from Toronto Dominion Economics.

github

Messager Mixer Inc:

Description:

The objective of the project is to develop an encryption software application using JavaScript and Node.JS to be marketed to developers by Message Mixer Inc. The application safeguards against unauthorized access to company information.

github

Cybersecurity Risk Agentic AI:

Description:

The objective of the project is to develop an Agentic AI chatbot that focuses on the security risks associated with the technology. The chatbot utilizes LangGraph and Gemini to extract and analyze data from the document (Coaching AI Agents: Why Your Next Hire Security Hire Might Be An Algorithm).

github

Alarm System Cybersecurity:

Description:

The C++ alarm system uses Agentic AI for real-time malware detection and neutralization, protecting users’ data. It employs a generative algorithm to identify threats early, resulting in an 30% increase in malware detection efficiency and boosting cybersecurity analysts’ efficiency in handling emerging risks.

github

DriveSmart: An Autonomous Mobility Solution

Description:

This project delivers a Bluetooth-enabled application for secure, remote activation of an autonomous vehicle, verify the user with encrypted biometric data via PySyft (≥98% accuracy), detect faults using PyTorch (95% precision), show diagnostics on Plotly dashboard, and support multilingual reports in English, French, and Spanish via Agentic AI (≥97% accuracy).

github

Continuous learning:

I am a lifelong learner with a passion for staying ahead of the curve. I have deepened my expertise in Cybersecurity through Coursera and Data Scientist: Natural Language Processing as part of Codecademy’s online program. My curiosity fuels a continuous pursuit of knowledge, especially in rapidly evolving fields such as Agentic AI, large language models (LLMs), generative AI, TensorFlow, Keras, and PyTorch. I strive not only to understand cutting-edge technology, but to apply it meaningfully and responsibly.

Work Experience:

Data Scientist (Freelance - UpWork)

February 2025 - Present:

Work on various portfolio projects based on clients’ needs, such as AI, LLM, Generative AI, and Python.
Increase project completion by 20% through efficient data modeling and cleaning utilizing Pandas for CSV files.
Optimize and debug software using C++ and JavaScript to enhance code efficiency by 20%, reduce bug resolution time by 30%, and improve system performance metrics for client projects.
Strive to meet 100% clients’ expectations and maintain customer satisfaction during meetings.

Technical Expertise:

I have hands-on experience with various programming languages and technologies:

Languages: Python, SQL, JavaScript, C++, Git, GitHub.
AI & Machine Learning: LLMs, GenAI, TensorFlow, Keras, PyTorch, Agentic AI.

I thrive on tackling complex challenges, driving innovation through collaboration, and pushing the limits of technology to create meaningful impact.

Education:

University of Ottawa:
Bachelor of General Social Science, 2011 - BACHELOR DEGREE.pdf
Codecademy:
Data Science: Natural Language Processing, 2024 - Data Scientist_Natural Language Processing_Codecademy.pdf

Volunteer:

OWASP Ottawa Chapter (Cybersecurity), Volunteer Staff: February 2025 - Present

Video Content by Ben Nguyen on YouTube (Cybersecurity and AI):

Articles in AI, Cybersecurity, and Software:

Hackathon:

Hackathon 2024: NASA Space Apps Challenge_Hackalthon_2024.pdf

Contact Information:

Email: nguyenben85@gmail.com