Joshua Munyanza

I am a driven Machine Learning Engineer and Data Scientist with hands-on experience building and deploying predictive models using Python, PyTorch, scikit-learn and related tools. I focus on data preprocessing, feature engineering, and model optimization to deliver measurable results.

Over the past year I created and documented multiple self-initiated projects — including high-performing Heart Attack, Lung Cancer, Crop Yield, and House Price models — demonstrating strong accuracy scores with Random Forest, XGBoost, and neural networks. I publish code and results on GitHub to showcase reproducible workflows and practical ML competence.

I am committed to leveraging data insights to improve decision-making and deliver impactful technological solutions, continually learning through self-study, open-source contributions, and participation in tech meetups and hackathons.