Kelvin Kagwi

I am a certified data scientist with hands-on experience building and deploying machine learning models across health, business and spatial domains. I specialize in turning messy data into actionable insights and production-ready tools.

My projects include a diabetes prediction tool and an employee performance prediction solution, both achieving 90%+ accuracy and deployed using Streamlit for real-time interaction. I apply classical ML and deep learning frameworks, plus rigorous statistical analysis, to drive measurable outcomes.

In professional training and support roles I have gathered and prepared data using scraping, Power Query, pandas, and relational databases, and I have presented findings and led classroom presentations. I pair technical implementation with clear communication to help stakeholders adopt data-driven decisions.

I look for roles where I can continue deploying ML solutions to production, collaborate with cross-functional teams, and contribute to impactful projects in health, business intelligence, or social good.