Kenneth Kimani is a data analyst with nine years of experience based in Nairobi who turns complex datasets into actionable insights for business decision-makers. At Nakama Digital & Studio he recently delivered strategic analysis on emerging trends in the local music industry, demonstrating an ability to translate cultural data into operational value. He combines rigorous technical training from WorldQuant, Udacity, and the Corporate Finance Institute—including financial modelling and valuation—with a scientific background in genomic sciences, giving him a unique cross-disciplinary perspective. Skilled in Python, SQL, BI tools and financial analytics, he bridges analytics and business strategy to inform product and market decisions. Colleagues value his blend of operational awareness and curiosity-driven analysis that uncovers non-obvious patterns. He is driven by the real-world impact of data and seeks roles where analytics can shape creative and commercial outcomes.
9 years of coding experience
Business Intelligence & Data Analyst Certification, Business Intelligence & Data Analyst Certification at Corporate Finance Institute® (CFI)
Applied Data Science Lab, Data Science, Applied Data Science Lab, Data Science at WorldQuant University
Data Analyst Nanodegree Program, Data Analysis with Python and SQL, Data Analyst Nanodegree Program, Data Analysis with Python and SQL at Udacity
Bachelor of Science - BS, Genomic Sciences, Bachelor of Science - BS, Genomic Sciences at Jomo Kenyatta University of Agriculture and Technology
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