ABOUT ME

I’m a Computer Science student at NJIT with a strong foundation in Python, HTML, CSS, and JavaScript. While I started out enjoying front-end development, I’ve recently shifted my focus toward machine learning and data science. I’m actively building my skills in frameworks like React, Node.js, and Next.js through coursework, personal projects, and self-guided learning. My long-term goal is to become a Machine Learning Engineer or Data Scientist, and I’m currently working on projects that combine coding with data-driven insights. Outside of tech, I’m into plants, dogs, crocheting, and learning Korean. I also like experimenting with game development and 3D modeling when I have the time. :)

IRIS

Project Type: Supervised Machine Learning · Multi-class Classification Tech Stack: Python, pandas, scikit-learn, matplotlib Description: This project uses the classic Iris dataset to classify flowers into three species based on petal and sepal measurements. It’s a simple yet powerful introduction to machine learning, allowing me to explore model training, evaluation, and data visualization.

Trained a multi-class classifier using scikit-learn
Visualized decision boundaries and feature importance
Evaluated performance with accuracy and a confusion matrix
Built a clean pipeline from preprocessing to prediction

Takeaway: This was my very first ML model — simple, elegant, and a great way to understand the full machine learning workflow from data to decision. And yes, it actually works.

Check it out here!

EUVRAIN

Project Type: Interactive Web Design · Frontend Development Tech Stack: HTML, CSS, JavaScript, Blender Description: Euvrain is my first personal website, featuring a playful Y2K-inspired aesthetic and interactive web components. It includes:

Madlib Generator: Users create short, funny stories by filling in blanks with their own words.
Guess the Number Game: A number guessing challenge with a celebratory confetti animation on success.
3D Art Showcase: A gallery of original 3D characters modeled and rendered in Blender.

Takeaway: This project helped me learn the basics of JavaScript interactivity, user experience design, and integrating custom 3D assets into a website. It’s quirky, creative, and uniquely mine.

Works In Progress

To-Do List App

A To-Do List app designed to help people with ADHD manage their tasks more effectively. It will integrate features tailored to reduce the feeling of being overwhelmed, maintain focus, and encourage productivity. The app will provide a supportive and user-friendly interface that accommodates the needs of individuals with ADHD, promoting a balanced and organized approach to daily activities.

AI Plant/Crop Halth Monitor

An AI-driven crop health monitoring and management system designed to help gardeners and farmers optimize their agricultural practices. Utilizing advanced computer vision and machine learning techniques, this app will provide real-time analysis and insights into the health of crops, enabling gardeners/farmers to take proactive measures to prevent and mitigate plant/crop damage

Taylor McDonald