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Data Scientist with 4+ years in Python, SQL & Data Pipelines.
Results-driven Data Scientist and Analytics Engineer with 4+ years of experience building scalable data workflows, automation tools, and analytics solutions for high-volume datasets. Strong expertise in Python, SQL, advanced Excel, Pandas, NumPy, data pipelines, API integrations, and business intelligence reporting. Experienced in transforming manual operational processes into automated, production-ready systems that improve efficiency, accuracy, and reporting reliability. Proven ability to independently own projects from design to deployment while collaborating with technical and business stakeholders in remote environments. Skilled in risk data processing, workflow automation, data validation, statistical analysis, and visualization for decision-making. Passionate about building reliable analytics infrastructure and delivering measurable business impact.
ALX Africa
Bootcamp · Software Engineering
August 1, 2022 – June 30, 2023
University of the People
Bachelor of Science · Computer Science
N/A – July 1, 2026
Apax Researchers
Data Scientist & Analytics Engineer
January 1, 2024 – Present
Nairobi, Nairobi, Kenya
ALX
Junior Data Analyst & Software Engineer
January 1, 2023 – December 31, 2024
Nairobi, Nairobi, Kenya
Catastrophe Risk Workflow Automation Platform
June 1, 2025 – Present
• Built a Python-based analytics workflow platform for processing large insurance and operational datasets. • Automated ingestion, cleaning, validation, and transformation of structured and semi-structured data. • Integrated APIs and JSON/XML data feeds into centralized analytics pipelines. • Reduced manual reporting effort while improving turnaround time and data reliability.
Automated Data Validation & Quality Monitoring System
June 1, 2025 – Present
• Developed automated testing and validation scripts to verify data integrity across multiple datasets. • Implemented anomaly detection checks and reporting alerts for inconsistent data outputs. • Improved analytics reliability and reduced reporting errors through automated QA processes.
Power BI Business Intelligence Dashboard Suite
June 1, 2025 – Present
• Designed interactive dashboards for operational and business reporting. • Built KPI tracking systems with automated backend data refresh pipelines. • Delivered actionable insights that improved business visibility and reporting efficiency.
PBFT Banking System Analytics & Infrastructure Project
June 1, 2025 – Present
• Led development of a secure distributed banking system with analytics and monitoring capabilities. • Engineered transaction tracking and data validation systems across replicated nodes. • Developed reporting and performance monitoring features for financial operations. • Implemented secure role-based access controls and real-time transaction visibility.
AI Customer Service Analytics Chatbot
June 1, 2025 – Present
• Developed a chatbot solution integrated with analytics tracking and customer interaction monitoring. • Reduced customer support operational costs by 240% through automation and intelligent routing. • Built reporting workflows to monitor customer engagement metrics and chatbot effectiveness.
Cultural Fit Analysis
The candidate's project diversity, including catastrophe risk, banking systems, and AI chatbots, shows a broad interest and adaptability to different domains. Their experience in both data science and software engineering roles, coupled with continuous learning (bootcamp and ongoing bachelor's degree), indicates a growth mindset. The focus on automation and efficiency aligns with a culture that values innovation and measurable impact. The candidate's ability to work independently and collaboratively in remote settings further supports a good cultural fit for modern, agile teams.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving abilities, and a results-driven approach. Their experience in remote collaboration and working with cross-functional teams indicates good operational fit. The ability to deliver production-ready solutions under tight deadlines and adapt to new technologies suggests a proactive and reliable team member.