Ajeyomi Adedoyin Samuel

Data Engineer

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

• Data engineer on IWMI's Market Intelligence work, delivering intelligence support across CGIAR Centers and the CGIAR Science Program Accelerator
• Own the data harvesting layer end to end — sourcing secondary data from governments, NGOs, and international organisations, and bringing it into a single analysis-ready foundation
• Built the policy and document ingestion pipeline that mines policy documents and unstructured text for demand signals, turning scattered publications into structured, queryable evidence
• Designed and built the Demand Signal Explorer for the Accelerator, an AI-integrated tool that surfaces and interrogates extracted demand signals for decision makers
• Engineered the AI components — extraction, enrichment, and retrieval — that convert raw multi-source data into usable market and policy intelligence

Technical Project Manager - MSDAT GIS

eHealth4everyone, Abuja, Nigeria (ehealth4everyone.com)

• Technical lead for MSDAT GIS, the geospatial arm of Nigeria's Multi-Source Data Analytics and Triangulation platform — a national-scale system for health planning, programme targeting, and spatial decision support
• Owned the technical direction across the full stack: tool selection, framework, architecture, backend, frontend, design system, and styling — driving the decisions while building consensus with the team
• Designed and integrated a suite of 10+ analysis tools into a single interface, covering heat maps, clustering and hotspot detection, choropleth and thematic mapping, buffer and proximity analysis, spatial querying, layer overlay, and on-the-fly indicator visualisation
• Connected the GIS layer to MSDAT's multi-source health indicator data, so users can move from national figures down to state and LGA-level spatial analysis in one workflow
• Personally built the bulk of the frontend GIS and visualisation layer, from map interactions and legends to the analysis panels
• Used Claude and Anthropic's AI tooling throughout implementation, driving roughly 70% of the design and frontend build and compressing delivery from months to weeks

Geospatial Data Engineer

Envirotrust, Germany (read the engineering decisions)

• Built scalable ETL pipelines and RESTful APIs to process and serve large geospatial datasets (Zarr, COG, Parquet) using Xarray, DuckDB, FastAPI, and Titiler for real-time visualization and analysis
• Deployed cloud-native infrastructure on AWS (S3, Lambda, EC2) with Docker and CI/CD (GitHub Actions) to automate, scale, and maintain geospatial workflows
• Led collaborative development on GitHub, ensuring clean code, agile iteration, and reliable deployment across remote teams
• Engineered data pipelines to source and aggregate diverse geospatial data for wildfire, flood, heat, and wind risk modeling, preparing it for cloud-based analysis
• Developed scalable data aggregation strategies for environmental risk parameters, optimizing data transfer to cloud platforms for advanced scenario modeling

Geospatial | Data Engineer | Data Analyst

Spatialnode (Freelance), Delaware, United States (spatialnode.net)

• Project-based freelance engagements — brought in as data engineer, data analyst, or data scientist depending on what each project needs
• Projects delivered: IWMI Demand Intelligence Information System (DIIS), IWMI Multidimensional Digital Inclusiveness Index (MDII) — including its scoring dashboard — and currently the SFL Location Intelligence project
• Delivered end-to-end data and analytics solutions for decision support across each engagement
• Handled the full data lifecycle across both projects, including data ingestion, cleaning, preprocessing, transformation, validation, and storage using DAX, Python, and Azure Functions
• Built and maintained CI/CD pipelines to automate data processing workflows, dashboard updates, and report refreshes, ensuring reliability and reproducibility
• Developed interactive Power BI dashboards and analytical reports, enabling evidence-based decision-making across Nigeria, Bangladesh, Ethiopia, and other countries
• Processed, standardized, and analyzed 10,000+ records from multi-source, unstructured, and semi-structured datasets, improving data quality and usability
• Extracted and structured critical indicators and insights from documents, and collaborated with stakeholders to define metrics, reporting requirements, and analytical outputs

Geospatial Analyst

Milsat Technologies Limited, Abuja, Nigeria

• Performed advanced data analytics to uncover insights and trends, enhancing decision-making accuracy
• Led the design and management of geospatial and statistical dashboards for real-time monitoring and analysis
• Developed and optimized ETL processes for efficient data extraction, transformation, and loading
• Implemented and maintained databases to improve data storage and retrieval
• Designed unbiased survey questionnaires to enhance response accuracy and reliability

Training and Capacity Development Lead (Volunteer)

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

• Delivered GeoAI and spatial data science workshops across multiple universities nationwide
• Coordinated online training programs reaching 500+ participants
• Led website development and content management, increasing engagement by 40%
• Mentored 50+ emerging geospatial professionals in technical skill development

Geospatial Tutor and Mentor (Volunteer)

Geoanalytec, Nigeria (LinkedIn)

• Trained 150+ students across Africa in GIS and remote sensing, achieving 80% course completion rate
• Delivered comprehensive basic and advanced training in Python, QGIS, ArcGIS, and Google Earth Engine
• Coordinated 10+ GIS events and 30+ structured weekend training sessions
• Provided ongoing mentorship to participants, supporting career development in geospatial fields

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 Cloud Practitioner

AWS Cloud - Specialized in Cloud Data Engineering.

Applied Data Science Labs

World Quant Univeristy - Focus on pyhton, Data analysis, Machine learning and Performance and evaluation with projects and capstone.

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 2023

https://x.com/SambusNigeria/status/1712117189673672996

Nigeria Meta Geospatial & Mobility Data winners for Health Hackathon.

https://ng.linkedin.com/posts/dsnai_winner-announcement-congratulations-to-activity-7034148823950110722-WP2l"