Passionate about Cybersecurity
(and empanadas)
A highly motivated and adaptable professional with a passion for cybersecurity, I bring a unique blend of technical expertise, very high attention to detail and excellence in bilingual communications. I spent the past year getting extensive training in information security, cloud computing and vulnerability management.
A highly motivated and adaptable professional with a passion for cybersecurity, I bring a unique blend of technical expertise, very high attention to detail and excellence in bilingual communications. I spent the past year getting extensive training in information security, cloud computing and vulnerability management.
From Books to Bytes: Strengthening Security for Toronto Public Library with the Cloud
Spring 2024
As a capstone project for the Cyber Connexion Cybersecurity Program at the University of Toronto, our team built a highly resilient, well-secured network for a three-tier web application on AWS using Infrastructure as Code, and scanned it for vulnerabilities.
- Chosen as winning project of our program cohort
- Tools used: AWS, Terraform, Tenable Nessus, Git/Github, draw.io, Canva
Linux Password Manager
Spring 2024
(Coming soon)
Writing for Cybersecurity
Fall 2023
This writing portfolio, hosted on Google Drive, holds some of the cybersecurity reports and documents that I produced as part of the Google Cybersecurity Certificate, including incident reports and vulnerability assessments.
Credit Card Fraud Projection
Spring 2023
In my capstone project for the Caregivers and Machine Learning course, I set out to determine which machine learning algorithm would work best for predicting credit card fraud. I analyzed an anonymized credit card dataset using various Python libraries, and built three machine learning models using logistic regression, random forest and XGBoost algorithms. I found that tree-based algorithms worked best when performance was measured with metrics that are suitable for imbalanced datasets, namely precision-recall and F1 score.
Tools used: Python, Python libraries (matplotlib, NumPy, Seaborn, scikit-learn), Google Colab, Kaggle
Tools used: Python, Python libraries (matplotlib, NumPy, Seaborn, scikit-learn), Google Colab, Kaggle
Get in touch! If you think I might be an asset to your team, I want to hear from you.