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Sean Nguyen

Hi there! I'm a Cybersecurity professional focused on Governance, Risk, and Compliance (GRC), dedicated to enhancing security frameworks and ensuring regulatory adherence.

Work samples

Projects include data analytics and visualization, AI-powered career matching, and full‑stack apps. I use Python, SQL, JS/React, MongoDB, embeddings, and cloud tools to turn data into usable insights.

  • Beats by Dre Data Analytics: Qualitative & Quantitative Insights
    Beats by Dre Data Analytics: Qualitative & Quantitative Insights
    Beats By Dre logo

    Beats By Dre · Mar 2026 · ✅ Verified by Extern

    Beats by Dre Data Analytics: Qualitative & Quantitative Insights

    A Beats by Dre externship combining qualitative and quantitative consumer-data methods to surface customer pain points, map journeys, run sentiment analysis, and synthesize findings into presentations and dashboards.

    PythonAI & MLData Analysis
  • Rooted
    Rooted

    MILA · Jun 2026

    Rooted

    Built an AI-powered career navigation platform for refugees and newcomers for the AI4Good Lab, sponsored by Manulife, Google DeepMind, IVADO, Vector Institute, CIFAR, and Amii. Implemented multilingual NOC matching with BGE-M3 embeddings, cached vector retrieval, cosine similarity across 516 NOC uni

    ReactFastAPIPythonS-BERTHugging FaceLlama

About me

Hi there! I'm a Cybersecurity professional focused on Governance, Risk, and Compliance (GRC), dedicated to enhancing security frameworks and ensuring regulatory adherence.

I have a background in frontend design, AI, cloud computing, and cybersecurity. I hold certifications including AWS Certified Cloud Practitioner, ISC2 CC, and Google Cybersecurity. Right now, I'm also pursuing the Microsoft SC-900 certification to further enhance my skills. My diverse experience allows me to approach challenges from multiple angles, and I'm always eager to learn and grow in the tech field.

Externships

vCISO Cybersecurity Risk Assessment Externship

vCISO Services

Experience

I&IT Security Analyst

Ontario Public Service (MPBSDP) · Sep 2026

Tech Helper

City of Mississauga · Oct 2025 - Aug 2026

Software Engineer

Develop For Good · May 2026. - Aug. 2026

Cybersecurity (GRC) Intern

Artefactual Systems · Jan. 2026 – Apr. 2026

Frontend Developer Intern

Edtech International Education Group Inc · Feb. 2025 – Apr. 2025

Education

Wilfrid Laurier University

Bachelor of Arts in Computer Science and Spanish · Class of 2028

Skills

JavaPythonSQLJavaScriptTypeScriptHTMLCSSRNode.jsExpress.jsMongoDBFlaskReact.jsGitFigmaFramerColabAWSVS CodeMicrosoft OfficePyCharmEclipseR StudioPostmanJWT-authenticated user accountsRESTful APIsMongooseS-BERTHugging FaceLlamaFastAPI

✅ Verified by Extern

Beats by Dre Data Analytics: Qualitative & Quantitative Insights

A Beats by Dre externship combining qualitative and quantitative consumer-data methods to surface customer pain points, map journeys, run sentiment analysis, and synthesize findings into presentations and dashboards.

PythonAI & MLData Analysis

Overview

Beats by Dre Data Analytics: Qualitative & Quantitative Insights
Google Slides
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What I've accomplished

Project breakdown

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Back to work

Rooted

Built an AI-powered career navigation platform for refugees and newcomers for the AI4Good Lab, sponsored by Manulife, Google DeepMind, IVADO, Vector Institute, CIFAR, and Amii. Implemented multilingual NOC matching with BGE-M3 embeddings, cached vector retrieval, cosine similarity across 516 NOC uni

ReactFastAPIPythonS-BERTHugging FaceLlama

Overview

Built an AI-powered career navigation platform for refugees and newcomers for the AI4Good Lab, sponsored by Manulife, Google DeepMind, IVADO, Vector Institute, CIFAR, and Amii. Implemented multilingual NOC matching with BGE-M3 embeddings, cached vector retrieval, cosine similarity across 516 NOC unit groups, LLM-generated pathway cards, PDF export, and verified funding/resource retrieval.

Rooted
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Workout Pal

Built and deployed a secure workout tracking platform with JWT-authenticated user accounts, user-scoped workout logs, and per-account training splits, including unit, theme, and multilingual (EN/ES/FR) preferences. Designed and implemented RESTful Express/MongoDB APIs and Mongoose models for logging

ReactExpressNodeMongoDBBootstrap
View all work