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Data Analyst with 6+ years in data systems, workflow automation, and social impact projects.
Data Analyst with 5+ years' experience designing and optimizing data systems, workflow automation, and decision-support tools for social impact projects across Africa. Proven expertise in Python, Stata, and SQL (MySQL/NoSQL), with a track record of building scalable pipelines, cleaning and analyzing complex datasets, and developing dashboards that translate data into actionable insights. Skilled in project management and cross-functional collaboration, delivering efficient, reliable, and user-focused business intelligence solutions that drive organizational impact and support strategic decision-making at senior management levels.
Stanford University
Certificate · Machine Learning
November 1, 2021 – July 1, 2022
Maseno University
BSc. · Actuarial Science with Information Technology
N/A – June 30, 2018
Institute and Faculty of Actuaries
Certificate · Actuarial/Financial Mathematics
N/A – June 30, 2017
University of East London
MSc. · Data Science
N/A – Present
Dalberg Research Limited
Data Analyst
January 1, 2022 – Present
Nairobi, Nairobi, Kenya
Ground View Analytics
Data Analyst
September 1, 2020 – January 1, 2022
Nairobi, Nairobi, Kenya
MBM Ltd
Data Analyst
January 1, 2019 – December 1, 2019
Nairobi, Nairobi, Kenya
Statistics for Data Science Certificate
Predictive Analytics Lab
June 1, 2026 – Present
Certificate in Monitoring, Evaluation, Accountability & Learning
Save the Children
June 1, 2026 – Present
SQL Online Test
Test-Dome
June 1, 2026 – Present
Certificate in Planning for Monitoring and Evaluation
Philanthropy University
June 1, 2026 – Present
Block-Chain Essentials Certificate and R IBM Certificate
Cognitive Class, IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across diverse sectors (social impact, banking, construction, FMCG) and international projects (Sub-Saharan Africa, South America, Asia) demonstrates adaptability and a broad perspective, indicating a strong cultural fit for dynamic and globally-oriented environments. Their involvement in M&E projects and focus on social impact aligns with organizations valuing data-driven decision-making for societal benefit. The continuous pursuit of education (MSc. Data Science, Stanford ML Certificate) reflects a growth mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong project management, communication, and leadership skills through their experience in coordinating teams, managing data processes, and advising executives. Their ability to translate complex data into actionable insights for non-technical stakeholders highlights effective operational fit and collaboration. The diverse project exposure across various sectors (Banking, Construction, FMCG, Social Impact) indicates adaptability and a proactive approach to problem-solving.