Amobi Onovo
Hiv Data Scientist Integrated Analytics Consultancy (Unicef) Global Health Data Systems @UNICEF
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WORK HISTORY
Hiv Data Scientist Integrated Analytics Consultancy (Unicef) Global Health Data Systems @UNICEF
NY, US
Designed and implemented integrated analytics frameworks for HIV and health systems decision-making, applying digital platforms, advanced analytics, and AI and machine learning techniques.* Developed and automated data engineering pipelines, analytical tools, and visual products to identify service delivery gaps and strengthen equity-focused health programming.* Supporting cross-sectoral data harmonization and performance monitoring to inform strategic planning and policy development.
EDUCATION
University of Geneva
Doctor of Philosophy - PhD , Global Health (Mathematical Modeling)
Massachusetts Institute of Technology
Applied Data Science Certification Program
Federal University of Technology Yola
Bachelor's degree, Biochemistry
Texas McCombs School of Business
Postgraduate Diploma, Data Science
University of Calabar
Masters Public Health (MPH), Epidemiology
ABOUT AMOBI ONOVO
I’m Dr. Amobi Andrew Onovo, a Data Scientist, Global Health Specialist & Epidemiologist with 15+ years of experience applying AI, machine learning, and spatial analytics to transform programs and enterprises. My work spans the full model lifecycle from data pipelines and predictive modeling to geostatistical mapping and cloud deployment, delivering impact for individuals across sub-Saharan Africa.Recently, I founded Quantium Insights LLC, a consultancy firm dedicated to turning complex data into actionable insights through predictive modeling, geospatial analytics, M&E systems, and AI-driven early-warning tools. Our first prototype, StrokeRisk AI, showcases how scalable, real-time solutions can save lives and drive measurable impact.At the same time, I am actively pursuing corporate leadership opportunities, as a Data Science Manager, Principal Data Scientist, or Senior Analytics Leader. I view entrepreneurship and corporate leadership as complementary; my consultancy highlights my expertise, but my priority is driving sustained impact within organizations through strategy, innovation, and evidence-based decision-making. Academic Background• PhD, Global Health (Mathematical Modeling) — Univ. of Geneva• MPH, Epidemiology — Univ. of Calabar• Applied Data Science — Massachusetts Institute of Technology (MIT)• PGD, Data Science & Business Analytics — Univ. of Texas at Austin Career ImpactHenry M. Jackson Foundation (DoD-Military HIV Research Program): Led geospatial workflows (hotspot mapping, GWR analysis) that boosted HIV testing uptake by 15% in Tanzania; built predictive risk models adopted by practitioners; delivered 30% faster decision-making via Tableau & Power BI dashboards.USAID: Directed a $15M cooperative agreement, improving operational efficiency by 30%; applied Bayesian prevalence modeling and causal inference (A/B testing, DiD, IV analysis) to optimize HIV interventions for over 1M people. Core Expertise• Predictive Modeling (XGBoost, DNNs, Bayesian GLMs)• Data Wrangling, Management & Statistical Analysis (proficient in R, Python, Stata, SAS, BigQuery, and PostgreSQL)• Spatial Epidemiology & Geostatistics (ArcGIS Pro, spatiotemporal analysis)• Program Evaluation & Causal Inference (A/B, DiD, IV)• Data Visualization & Dashboards (Tableau, Power BI, Gradio)• Cloud Deployment & Automation (AWS, GCP, Hugging Face) Let’s connect if you’re seeking leadership that bridges advanced analytics, AI/ML, and implementation science to drive data-driven, high-impact solutions across health and enterprise.
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