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Data Science with 3+ years in Data Science & Analytics and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist and Analyst with a Master of Science in Data Science and Analytics and a foundation in Actuarial Science, bringing strong statistical grounding to complex, high-stakes data environments. Experienced in designing and maintaining end-to-end data pipelines, building interactive dashboards and visualisations, and implementing rigorous data quality and validation frameworks across large, multi-source datasets. Proficient in Python, R, SQL, Power BI, and Tableau. Adept at translating analytical findings into clear, actionable insights for both technical and non-technical audiences. Committed to using data to drive meaningful outcomes in health, development, and social impact contexts.
Strathmore University
Master of Science · Data Science and Analytics
N/A – June 30, 2025
Jomo Kenyatta University of Agriculture and Technology (JKUAT)
Bachelor of Science · Actuarial Science
N/A – June 30, 2017
Prospect 33
Data Scientist
January 1, 2024 – October 1, 2025
New York City, New York, United States
Prospect 33
Data Science Intern
September 1, 2023 – January 1, 2024
New York City, New York, United States
Dejmak Company Limited
Data Analyst
June 1, 2022 – June 1, 2023
Nairobi, Nairobi, Kenya
Cultural Fit Analysis
The candidate's experience at Prospect 33 (a remote role) and Dejmak Company Limited, coupled with their academic background, suggests adaptability to different work environments and a commitment to continuous learning. Their stated interest in using data to drive meaningful outcomes in health, development, and social impact contexts indicates a potential alignment with mission-driven organizations. The breadth of their technical skills and experience in data governance and quality frameworks suggests a methodical and responsible approach to data science, which aligns well with a culture that values data integrity and ethical practices.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working cross-functionally with engineers, compliance specialists, and subject matter experts. They have experience presenting findings to stakeholders, indicating good communication and presentation abilities. Their focus on data quality, governance, and rigorous documentation suggests an organized and detail-oriented approach to work, which is crucial for operational fit in data-intensive roles.