I’m Kwizera, a passionate Data Scientist and MLOps enthusiast with a deep curiosity for solving complex problems using data-driven solutions.

My tech journey started not in a lab but in the real world, where I’ve always been fascinated by how simple ideas, backed by data and logic, can create powerful change. Over the past few years, I’ve had the opportunity to work on various projects involving machine learning, model deployment, and process automation — and I’ve loved every bit of it.

I specialize in data collection, cleaning, and exploratory data analysis (EDA), building both supervised and unsupervised machine learning models, and optimizing performance through effective feature selection. I also focus on model deployment using MLOps best practices and creating insightful visualizations with tools like Matplotlib, Seaborn, and dashboards.

I take pride in writing clean, maintainable code and building models that are not only accurate but also ready for real-world use. Whether it’s a predictive analytics task, automating a workflow, or developing a machine learning pipeline from scratch I’m always up for the challenge.

I value clear and open communication, delivering impactful results, and constantly improving through learning. I'm also passionate about helping others grow.

Outside of work, I’m an explorer at heart. I enjoy hiking, reading about behavioral science, and experimenting with side projects (like building small AI tools or trying out new frameworks). I’m also passionate about learning languages and understanding new cultures — something that fuels my creativity in solving global problems through tech.