I am an Applied Mathematics student at the University of Waterloo with a minor in Computing. I am driven by the potential for AI and software to transform early cancer detection and improve patient outcomes.
- π Foundations of AI: Mastering the mathematical and computational foundations of Artificial Intelligence through targeted coursework and personal projects.
- π Data Science Portfolio: Building a comprehensive portfolio of Machine Learning and data analytics projects to bridge the gap between mathematics and software solutions.
- π‘ AI for Medicine: Applying Machine Learning techniques to medical datasets with the long-term goal of advancing early cancer diagnosis and clinical outcomes.
- Global Tech Layoffs: End-to-End Data Pipeline: Developed a MySQL pipeline using Window Functions and CTEs to remove 1,300+ duplicates and standardized data for time-series analysis. Visualized trends using an interactive Tableau dashboard.
- Heart Disease Explorer: Built a Streamlit dashboard in Python to analyze UCI medical data. Implemented a custom centroid-distance algorithm to calculate real-time risk probabilities.
- Student Management API: Engineered a RESTful API using ASP.NET Core and C#. Automated the build process by setting up a Jenkins CI/CD pipeline.
- Staff Check-in Portal: Designed and deployed a full-stack portal using React, TypeScript, and Express.js. Implemented automated notifications via MongoDB and Firebase Auth.
- Languages: SQL, Python, R, C/C++, C#, JavaScript, TypeScript, HTML/CSS
- Frameworks & Libraries: React, Node.js, Express.js, ASP.NET Core, Pandas, Seaborn, NumPy, Matplotlib
- Developer Tools: Git, MongoDB, Vercel, Render, Jenkins, MySQL, Firebase
- LinkedIn: linkedin.com/in/imairena
