Biostatistician and HealthTech Product Lead
Nairobi, Kenya
Biostatistician and HealthTech Product Lead with a unique blend of clinical research rigor and technical automation expertise. Identified as a "Technician" (DISC Profile) with a focus on high-quality standards and system integrity. Currently architecting a HealthTech MVP in an incubation setting, transitioning complex user requirements into scalable technical logic. Expert in Python-based automation, R-statistical modeling, and GCP-compliant data management. Proven track record of improving data efficiency by 80% through custom-built digital tools.
HealthTech Incubator (Stealth Mode / Incubation) • Nairobi, Kenya
HealthTech Incubator Participant (Incoming, Feb 2026): Selected for technical product development and MVP leadership. • MVP Architecture: Leading the end-to-end design of a digital health surveillance prototype. Translated public health challenges into a technical product roadmap. • Technical Logic Design: Engineered the backend data schema to ingest and cluster unstructured community reports, ensuring data integrity for future epidemiological analysis. • System Testing: Developed rigorous logic-validation protocols to ensure the platform's decision-support features are accurate and reliable for community-level health interventions. • Stakeholder Management: Communicating technical feasibility and product milestones to incubation mentors and potential partners.
Independent Consultant • Nairobi, Kenya (Remote)
Independent consulting focused on data strategy and automation solutions for international clients. • Product Automation: Engineered a Python-based valuation engine for international clients, replacing manual data review with automated scripts and reducing processing time by 80%. • Automated Underwriting Engine: Built a custom Python tool to scrape, clean, and score land parcels based on environmental risk factors. • Logic Optimization: Built automated Quality Assurance (QA) pipelines that validate incoming datasets against complex regulatory and environmental criteria, ensuring 100% accuracy. • Strategic Reporting: Designed automated dashboarding systems that translate raw technical data into actionable executive summaries for high-stakes decision-making.
HOPE worldwide Kenya (DREAMS Program) • Nairobi, Kenya
Managed large-scale health datasets for AGYW (Adolescent Girls and Young Women) interventions and monitoring & evaluation support. • Programmatic Insights: Managed large-scale health datasets for AGYW (Adolescent Girls and Young Women) interventions, ensuring alignment with PEPFAR reporting standards. • System Integrity: Conducted routine Data Quality Audits (DQA), identifying and fixing system bottlenecks in data collection flows to improve program visibility.
KAVI-Institute of Clinical Research (KAVI-ICR) • Nairobi, Kenya
Managed clinical trial data validation in strict adherence to ICH-GCP guidelines. • Quality Assurance: Managed clinical trial data validation in strict adherence to ICH-GCP guidelines. • Query Resolution: Collaborated with clinical staff to resolve data discrepancies, ensuring study databases were "lock-ready" and audit-compliant.
Bachelor of Science in Biostatistics