I build data-driven systems and machine learning models that solve real-world problems.
My focus is on understanding algorithms deeply, applying them effectively, and turning insights into working systems.
- Current Focus: Machine Learning & Deep Learning fundamentals
- Strength: Building and evaluating predictive models with practical applications
- Experience: Data analysis, model training, feature engineering, and full-stack integration
- Mindset: Analytical thinker with an engineering approach to problem solving
Data Science & Machine Learning
Web Development
|
My first web application exploring API integration and basic cart logic using vanilla JavaScript.
|
|
Authentication-based full-stack app with React frontend and Sinatra backend using SQLite.
Backend API » |
Collaborative full-stack recipe platform with API integration and deployed backend.
Frontend Repo » Backend Repo » |
|
Modern e-commerce app with state management and order tracking.
|
CRUD finance tracking application with analytics and search functionality.
|
|
My first data science project analyzing aviation risk patterns using Python and Tableau.
|
|
Predicted trip duration using feature engineering and ensemble modeling techniques.
|
Performed business analysis using SQLite and Python to derive insights for film production strategy.
|
|
End-to-end ML system for predicting athlete performance and injury risk.
|
Explored streaming trends using structured exploratory data analysis and visualization techniques.
|
|
Built a multi-class classifier to predict crash causes using a large real-world dataset.
|
|
- Data Science Bootcamp – Moringa School
- Web Development – Moringa School
Build. Break. Improve. Scale.
Data without context is noise. Code without purpose is wasted potential.