Nathan Maniego

Computer Science Student

Second year computer science student at the University of Toronto. Passionate about Software Engineering and Machine Learning!

nathanmaniego avatar

About Me

I’m a computer science enthusiast with a passion for writing clean, efficient code and exploring emerging technologies. Always eager to learn and adapt, I enjoy diving into complex problems, optimizing algorithms, and contributing to collaborative software projects. Whether I’m developing applications, experimenting with new programming languages, or refining my systems design skills, I bring curiosity, precision, and a growth mindset to everything I do.

project1

Project Bleu

Developed and deployed a Random Forest machine learning model with advanced data visualization tools to optimize stormwater management through blue roof systems, achieving 80% retention and earning an Honourable Mention Award for our innovative solution.

Code tools I used

Python

Pandas

React JS

project1

S&P 500 Stock Predictor

Developed a Random Forest machine learning model to predict daily movements of the S&P 500 index, achieving a 54% precision score by integrating advanced features like multi-horizon rolling averages and trend ratios from decades of historical data.

Code tools I used

Python

Pandas

Matplotlib

project1

MS Paint Inspired Clone

Developed a Java-based paint application with tools for drawing, shape selection, and customizable color and size options, incorporating real-time feedback for enhanced user engagement. Integrated the Ollama API for seamless parseable file compatibility.

Code tools I used

Java

JavaFX

Ollama3