AI & Data Analyst with 2+ years in CRM management & growth analytics.
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Business & Data Analyst with 2.7 years of experience in CRM management, market intelligence and growth analytics across multiple sectors. Skilled in Python, SQL, Excel, and data visualization tools to design and maintain data pipelines, dashboards, and analytical reports. Experienced in analyzing outreach, customer behavior, and operational datasets to generate actionable insights that drive business growth, operational efficiency, and strategic decision-making.
Jomo Kenyatta University of Agriculture and Technology
B.Sc · Computer Science
N/A – Present
Rooted Social
Data Operations & CRM Analytics
February 1, 2026 – Present
London, England, United Kingdom
DataVerse Africa
Data Analyst
July 1, 2025 – September 30, 2025
Lagos Island, Lagos State, Nigeria
Cebit Networks
Data Management & Analytics Lead
April 1, 2024 – Present
Nairobi, Nairobi, Kenya
Financial Analytics: Subsidy Disbursement Fraud Detection
June 19, 2026 – Present
Developed unsupervised anomaly detection models (Isolation Forest, DBSCAN) in Python to flag irregular subsidy transactions. Engineered features and automated ML preprocessing pipelines, reducing ETL time by 40%. Integrated AI-driven fraud scores into Power BI dashboards, improving audit accuracy by 18% and reducing investigation response time. Strengthened expertise in ML-based fraud detection, financial analytics, and policy evaluation.
View ProjectTrade & Customs Analytics: Policy Evaluation and Logistics Optimization
June 19, 2026 – Present
Built interactive dashboards to analyze import/export trends, tax performance, and logistics bottlenecks for policy evaluation. Automated SQL + Python pipelines, reducing reporting time by 45% and enabling near-real-time insights. Applied statistical forecasting models to evaluate seasonal changes in trade volumes and tax projections. Gained experience in economic modelling, customs analytics, and ML-supported decision systems.
View ProjectHealthcare Analytics: Air Pollution and Respiratory Disease Analysis
June 19, 2026 – Present
Built scalable ETL pipelines to process environmental + health datasets (5M+ rows). Developed supervised machine learning models (Random Forest, XGBoost) to predict high-risk disease zones and exposure probabilities. Delivered Power BI dashboards visualizing AI-driven forecasts, disease trends, and policy impacts. Enhanced skills in predictive modelling, public health analytics, and geospatial data science.
View ProjectCultural Fit Analysis
The candidate's project diversity across financial, healthcare, and trade analytics, coupled with experience in different company settings (Rooted Social, DataVerse Africa, Cebit Networks), suggests adaptability and a broad interest in applying data science to various domains. Their involvement in an AI-for-Change hackathon indicates a proactive approach to learning and applying AI for social impact, aligning well with a culture that values innovation and problem-solving. The remote work experience also points to self-sufficiency and effective communication in distributed teams.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and cross-functional collaboration skills through their project descriptions and work experience. Their ability to manage CRM, lead pipelines, and data governance processes indicates good operational fit for roles requiring data quality and process optimization. The hackathon participation also highlights teamwork and rapid prototyping abilities.