Brandon Otieno

I’m an Innovative Machine Learning Engineer and Data Engineer with a strong foundation in Mathematics and Computer Science. I enjoy turning real-world datasets into predictive systems that are practical, intelligent, and built to scale.

Through self-directed Machine Learning and Data Engineering projects, I’ve developed and deployed healthcare prediction models (pneumonia and cardiovascular risk). I designed ETL pipelines and automated data workflows, then built and containerized data workflows with Docker for reproducibility.

I also implemented serverless architectures to deploy Machine Learning models as scalable APIs. I worked with workflow orchestration, data warehousing, and streaming systems to extract insights and improve model performance using real-world data.

I’m currently building my end-to-end capabilities through Data Engineering and Machine Learning zoomcamp programs. I’m driven by creating intelligent, scalable, and sustainable solutions that bridge technology and innovation.