I am a detail-oriented and reliable data scientist with a strong foundation in statistics, machine learning, and experimental design. I enjoy turning complex data into actionable insights and building end-to-end analytic solutions.
I am proficient in Python and SQL, experienced in A/B testing, user behavior analysis, KPI measurement, and predictive modeling. I love applying data science to solve business problems and improve financial outcomes.
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A research-quality framework for running controlled experiments and predictive analytics on member retention in Kenyan Savings and Credit Cooperative Organizations (SACCOs) and licensed microfinance institutions.
For policymakers & financial regulators: this prototype illustrates how modern data science can be governed to improve credit access, enhance customer outcomes, and support evidence‑based regulations while preserving privacy and ethical standards.
Regulatory alignment: SASRA | CBK | Kenya Data Protection Act (2019) | AU Agenda 2063
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