My name, is:
I am a Data Analyst.
I am a specialist in designing and creating analytical solutions that transform raw data into strategic insights.
I have more than 3 years of experience FinTech and AI.
I specialize in predictive analsysis, statistical analsysis, and data management creatively leveraging machine learning,
and mathematics to THINK, and ANSWER difficult questions!
I am a Data Analyst based in Nairobi, Kenya, with 3+ years of professional experience delivering analytics solutions across healthcare, finance, and AI. My background includes building machine learning models for credit scoring, recommendation systems, and enumerator performance, which has given me a strong appreciation for the impact of evidence-based decision-making. I specialize in transforming large, complex datasets into actionable insights, with a focus on credit scoring, recommendation systems, enumerator performance, and labor market analytics.
My work spans predictive modeling, exploratory analysis, and interactive dashboards primarily tied to solving real business problems and driving measurable results.
I also have a soft-spot for Monitoring & Evaluation and I have on different projects and surveys participated in the defning of objectives and indicators, developing M&E frameworks, data collection and analysis, and also report writing and presentation of findings.
I hold a BSc in Applied Mathematics & Computer Science from Jomo Kenyatta University of Agriculture & Technology,
alongside certifications in Data Analysis, SQL, Business Intelligence, and Project Management.
I am open to freelance and full-time opportunities both locally and internationally.
A comprehensive overview of my technical toolkit for the complete Data Analysis workflow.
Below are selected data science projects I have worked on, organized by category. Each project follows a clear structure: Business Problem → Technical Approach → Quantifiable Results.
I am actively seeking data analysis opportunities and open to roles where I can apply analytics, machine learning, and data-driven decision-making to real-world problems.
.: Remote, Anywhere.
.: Nairobi, KENYA.
Feel free to reach out for project collaborations, job opportunities, or to discuss data science trends and techniques.