The bridge between infrastructure and intelligence.
I’m an IT professional turned Data Scientist. My goal is to build machine learning systems that are not just accurate, but production-ready and scalable.
The Journey
With a degree in Information Technology, I started with a deep fascination for how systems scale. This led me to become an AWS Certified Solutions Architect & Practitioner, where I learned to build the "pipes" that run the modern web.
However, I realized that the most exciting part of the infrastructure wasn't just the scaling—it was the data flowing through it. This sparked my transition into Data Science through the ALX Data Science program, where I began applying statistical rigor to real-world problems.
Cloud Mastery
- • AWS Certified Solutions Architect
- • Scalable Backend Architectures
- • FastAPI & API Deployment
- • PostgreSQL & Database Design
Data Science
- • Predictive Modeling (Scikit-Learn)
- • Deep Learning (TensorFlow/Keras)
- • Quantitative Finance Interests
- • Advanced Python (Pandas, Numpy)
What I'm Doing Now
When I’m not analyzing Kenyan food price trends or building movie recommender systems, I’m deep in the LeetCode trenches—mastering stacks, queues, and linked lists to keep my algorithmic thinking sharp.
I'm currently looking for roles as a Junior Python Engineer or Junior Data Scientist where I can contribute to building high-impact, data-driven applications.