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Data Analyst & M&E Specialist with expertise in statistical modelling, data engineering, machine learning, and financial analytics — bridging rigorous quantitative methods with real-world programme decisions across health, agriculture, and government in East Africa.
Scroll to exploreI'm a data analyst and M&E specialist with a BSc in Applied Statistics & Computing (Moi University), a Google Data Analytics Professional Certificate, and CPA Intermediate level — bringing five-plus years of hands-on experience across digital health, agriculture, government, and fintech in East Africa. I'm also trained in Data Privacy & Protection (APHRC), which shapes how I handle sensitive programme and health data responsibly.
My edge spans the full data value chain. On the technical side, I architect production-grade ETL pipelines (Kafka, Spark, PostgreSQL), build and deploy machine learning models (XGBoost, Random Forest, SHAP explainability), and design real-time Streamlit applications used by programme teams and lenders. On the financial side, my CPA training means I can engage directly with budgets, audit trails, and financial risk — not just operational data. I don't just build dashboards — I build accountability.
On the M&E side, I design KPI frameworks, indicator tracking systems, and data quality workflows — and I've built county-level health reporting systems covering 41 counties and 205 facilities. Growing up in the Rift Valley gives me genuine field context for agricultural and community programmes: I understand what smallholder data actually looks like, where it breaks, and which analytical assumptions to question. That's the kind of local knowledge you can't import.
* Testimonials are representative composites based on documented feedback. Reference contacts available on request.
I'm actively looking for roles in data analysis, R&D analytics, M&E, and agricultural data — both remote and on-site across Kenya and East Africa. If you're working on something that matters and needs someone who can bring both statistical depth and ground-level context, I'd like to hear from you.