Ajeyomi Adedoyin Samuel

Data Engineer

International Water Management Institute (IWMI) (iwmi.cgiar.org)

• Spearhead the data harvesting and engineering architecture for IWMI's Market Intelligence initiative, delivering intelligence support across CGIAR Centers and the CGIAR Science Program Accelerator.
• Own the end-to-end data pipeline layer, automating ingestion of secondary datasets from national governments, NGOs, and multilateral organisations into a unified, analysis-ready data foundation.
• Engineered high-throughput policy and document ingestion pipelines that mine unstructured text and institutional reports for demand signals, converting scattered publications into structured, queryable intelligence.
• Designed and launched the Demand Signal Explorer, an AI-integrated decision platform surfacing 380+ evidence-backed demand signals for executive leadership.
• Architected the AI components—automated extraction, semantic enrichment, and contextual retrieval—converting raw multi-source data into strategic market and policy intelligence.

Technical Project Manager — MSDAT GIS

eHealth4everyone, Abuja, Nigeria (ehealth4everyone.com)

• Directed technical strategy and product delivery for MSDAT GIS, Nigeria's flagship Multi-Source Data Analytics and Triangulation platform for national health planning, resource allocation, and spatial decision support.
• Owned technical architecture across the entire stack—tool evaluation, system design, backend APIs, frontend GIS interface, and design system—driving consensus across cross-functional engineering and health domain teams.
• Designed and integrated a suite of 10+ advanced spatial analysis tools into a unified interface (hotspot detection, cluster analysis, choropleth mapping, buffer & proximity analysis, spatial querying, and multi-layer overlays).
• Integrated the geospatial engine directly with national health indicator datasets, empowering decision-makers to seamlessly transition from macro national metrics to granular state and LGA (Local Government Area) spatial analysis.
• Accelerated product delivery from projected months to weeks (~70% development velocity increase) by leveraging modern architecture and AI-assisted workflows.

Geospatial Data Engineer

Envirotrust, Germany (read engineering decisions)

• Engineered scalable, cloud-native ETL pipelines and RESTful APIs serving gigabyte-scale geospatial datasets (Zarr, COG, Parquet) using Xarray, DuckDB, FastAPI, and TiTiler for real-time visualization and analytics.
• Architected cloud infrastructure on AWS (S3, Lambda, EC2) with Docker containerization and GitHub Actions CI/CD to automate, scale, and maintain mission-critical geospatial workflows.
• Sourced, harmonized, and aggregated multi-sensor climate and environmental feeds powering predictive risk modeling for wildfire, flood, extreme heat, and wind hazards across Europe.
• Optimized cloud data transfer and query strategies for environmental risk parameters, significantly lowering data retrieval latency for complex scenario simulations.

Geospatial Data Engineer & Spatial ML Consultant

Spatialnode (Contract / Project-Based), Delaware, United States (spatialnode.net)

• Delivered high-impact, project-based engineering and spatial machine learning contracts across global initiatives.
• SFL Location Intelligence: Architected predictive geospatial machine learning models, spatial suitability algorithms, and automated data pipelines powering location analytics and decision support.
• IWMI Intelligence Systems: Built and deployed the IWMI Demand Intelligence Information System (DIIS) and the IWMI Multidimensional Digital Inclusiveness Index (MDII) — including its live scoring platform.
• Managed the complete data lifecycle—automated multi-source ingestion, spatial validation, feature engineering, transformation, and cloud storage—leveraging Python, DAX, and Azure Functions.
• Built and maintained automated CI/CD data pipelines to streamline spatial workflows, live dashboard refreshes, and continuous system reliability.
• Developed interactive executive analytics and Power BI dashboards enabling evidence-based decision-making across Nigeria, Bangladesh, Ethiopia, and international partner institutions.

Geospatial Analyst

Milsat Technologies Limited, Abuja, Nigeria

• Delivered advanced geospatial analytics and predictive modeling that improved strategic decision-making accuracy for corporate and public sector clients.
• Led the design and deployment of real-time geospatial and statistical dashboards for spatial monitoring and executive reporting.
• Optimized ETL data workflows and relational database schemas to enhance query performance and data storage efficiency.
• Designed and administered structured spatial survey frameworks to ensure high data integrity and accuracy.

Training and Capacity Development Lead (Volunteer)

Spatial and Data Science Society of Nigeria (SDSN) (sdssn.org)

• Spearheaded national capacity building in GeoAI and spatial data science, delivering hands-on workshops across universities nationwide.
• Coordinated online training programs reaching 500+ participants and mentored 50+ emerging geospatial professionals.
• Led digital platform and content strategy, driving a 40% increase in community engagement.

Geospatial Tutor and Mentor (Volunteer)

Geoanalytec, Nigeria (LinkedIn)

• Trained 150+ students and professionals across Africa in GIS, remote sensing, and Python, achieving an 80% course completion rate.
• Organized and led 10+ GIS events and 30+ structured weekend masterclasses in Google Earth Engine, QGIS, ArcGIS, and spatial programming.
• Provided 1-on-1 technical mentorship and career guidance to emerging data practitioners.

Bachelor of Technology in Remote Sensing and GIS

Federal University of Technology Akure, Nigeria

GPA: 4.25/5.0 (Top 10%) | WES Equivalent: 3.58/4.0 (Verify WES)

• Specialized in Remote Sensing, GIS fundamentals, and Environmental Geography
• Completed coursework in Agriculture, Forestry, Geology, Urban Planning, and Cartography
• Conducted extensive fieldwork and geospatial analysis projects

AWS Certified Cloud Practitioner

Amazon Web Services — Specialized in Cloud Architecture, Scalable Storage, and Cloud Data Engineering.

Applied Data Science Labs

WorldQuant University — Advanced Python, Data Analysis, Machine Learning, Statistical Modeling, and Applied Capstone Projects.

ESRI UC Conference 2025 (Physical)

Spatiotemporal Analysis and Forecasting of Population Growth Hotspots in Nigeria Using WorldPop Data and ArcGIS Pro's Space-Time Pattern Mining Framework

PyCON Nigeria 2025 Workshop (Physical)

Led workshop on "Building Geospatial Data Pipelines with Open Source Tools"

ESRI Young Scholar Africa

Awarded by ESRI / Sambus Geospatial recognizing outstanding academic and applied geospatial innovation across Africa. (View Announcement)

Winner — Nigeria Meta Geospatial & Mobility Data Health Hackathon

1st Place winner for developing geospatial mobility intelligence solutions for national health planning and disease intervention targeting. (View Announcement)