Yuusuf

Projects

Concrete Compressive Strength Predictor

MACHINE LEARNING · PYTHON · SCIKIT-LEARN · NEURAL NETWORKS

Python-based machine learning system for regression and classification, implementing modular data pipelines, model training and evaluation workflows, and experiment tracking with MLflow to support reproducibility and comparison across classical models and neural networks.

Source CodeCase Study Available

Re-Think

DJANGO + REACT + CUSTOM AI ENGINE + DATA VISUALIZATION

Full-stack environmental impact tracking platform with custom AI engine. Analyzes sustainability data and generates personalized recommendations for carbon, water, and energy usage. Features interactive dashboards and real-time environmental insights.

Source CodeDeployment in Progress

Monopoly Strategy Simulation

JAVA + DJANGO + REACT + PYTHON + MATPLOTLIB + STATISTICAL ANALYSIS

Developed a Java-based Monopoly simulator with my project partner to model player strategies and automate 1,000+ games. Implemented Aggressive, Conservative, and Random strategies, tracking wins, properties, and wealth data. Analyzed performance using data structures, algorithms, and statistical analysis to identify the most effective strategy.

Live Demo Source Code

Data Science Research Pipeline

R + STATISTICAL ANALYSIS + REGRESSION MODELING + DATA VISUALIZATION + RESEARCH METHODOLOGY

Led a team to investigate the relationship between temperature, seasons, and ozone levels using a dataset from New York State (May-September 1973). Modelled ozone levels as a function of temperature and season, interpreting results to assess the significance of explanatory variables. Evaluated model assumptions by analyzing residuals, ensuring robustness of regression results, and identifying potential outliers.

Research Report Source Code
Home

Inspired by Collins Enebeli

Hello, I'm
Yuusuf Adebayo.

I am a Computer Science major at the University of Prince Edward Island, passionate about web development and machine learning. I focus on building scalable applications and solving real-world problems.

  1. 00work

Projects

Concrete Compressive Strength Predictor

MACHINE LEARNING · PYTHON · SCIKIT-LEARN · NEURAL NETWORKS

Python-based machine learning system for regression and classification, implementing modular data pipelines, model training and evaluation workflows, and experiment tracking with MLflow to support reproducibility and comparison across classical models and neural networks.

Source CodeCase Study Available

Re-Think

DJANGO + REACT + CUSTOM AI ENGINE + DATA VISUALIZATION

Full-stack environmental impact tracking platform with custom AI engine. Analyzes sustainability data and generates personalized recommendations for carbon, water, and energy usage. Features interactive dashboards and real-time environmental insights.

Source CodeDeployment in Progress

Monopoly Strategy Simulation

JAVA + DJANGO + REACT + PYTHON + MATPLOTLIB + STATISTICAL ANALYSIS

Developed a Java-based Monopoly simulator with my project partner to model player strategies and automate 1,000+ games. Implemented Aggressive, Conservative, and Random strategies, tracking wins, properties, and wealth data. Analyzed performance using data structures, algorithms, and statistical analysis to identify the most effective strategy.

Live Demo Source Code

Data Science Research Pipeline

R + STATISTICAL ANALYSIS + REGRESSION MODELING + DATA VISUALIZATION + RESEARCH METHODOLOGY

Led a team to investigate the relationship between temperature, seasons, and ozone levels using a dataset from New York State (May-September 1973). Modelled ozone levels as a function of temperature and season, interpreting results to assess the significance of explanatory variables. Evaluated model assumptions by analyzing residuals, ensuring robustness of regression results, and identifying potential outliers.

Research Report Source Code