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Lead Data Scientist with 9+ years in data analytics, SQL, Python, and business insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Analytically rigorous Data Analyst with a BSc in Electrical and Electronic Engineering (JKUAT) and CPA training (Sections 1-4, Strathmore University), bringing 6+ years of hands-on experience collecting, cleaning, analysing, and visualising complex datasets for institutions including GIZ, Strathmore University's ISBI, and AMREF / Kenya National Bureau of Statistics. Proficient in SQL, Python, Excel, and dashboard reporting. Skilled at identifying trends, surfacing growth opportunities, and translating data into clear, decision-ready insights for non-technical stakeholders. Strong communicator with a proven record of improving data accuracy and quality across multi-system environments.
JKUAT
BSc · Electrical & Electronic Engineering
August 1, 2012 – June 30, 2016
Strathmore University
Certified Public Accountant (CPA) · Sections 1-4
August 1, 2011 – June 30, 2012
Institutional Technical Initiatives
Data Analyst - Business Intelligence & Reporting
November 1, 2019 – December 1, 2025
Nairobi, Nairobi, Kenya
Redgiant Digital | Noga Sports | Independent Projects
Data Analytics & Visualisation Specialist
September 1, 2016 – June 1, 2019
India
AMREF & Kenya National Bureau of Statistics
Research Data Analyst - Kenya AIDS Indicator Survey
December 1, 2012 – February 1, 2013
India
Introduction to Data Science
Unknown
June 1, 2026 – Present
Adobe Creative Suite
Unknown
June 1, 2026 – Present
Advanced SEO Optimisation
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans various sectors including business intelligence, digital media, sports, and public health research, indicating adaptability and a broad perspective. Their work with diverse clients like GIZ, Strathmore ISBI, and government bodies suggests an ability to work in varied organizational cultures. The breadth of skills listed, from technical data tools to Adobe Creative Suite and SEO, shows a willingness to learn and apply diverse competencies.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through their experience in presenting findings to technical and non-technical audiences. Their work history indicates cross-functional collaboration and a focus on translating complex data into actionable business insights, which are crucial for a Lead Data Scientist role. The CPA training suggests an understanding of financial data and business processes, which can be beneficial.