Profile
Geospatial data scientist and data engineer who builds and deploys end-to-end data solutions
that turn raw, complex datasets into reliable decision-making tools — covering the full lifecycle from
collection and engineering through modelling, analytics, and visualisation. Experience spans cloud-native
geospatial platforms, AI-driven intelligence systems, national-scale GIS for health planning, and enterprise
computer-vision deployments, delivered for research institutions, government programmes, and private
industry across Africa, Europe, and international organisations. Published researcher with 120+ citations.
Core Skills
- GIS & Remote Sensing
- Google Earth Engine, QGIS, ArcGIS Pro, PostGIS, Sentinel, Landsat, UAV imagery, Leaflet, Mapbox,
Titiler, spatial statistics & geostatistics
- Software Development
- Python, R, JavaScript, SQL, FastAPI, React, REST API design, PostgreSQL, Docker, Git & GitHub
- ML & AI
- Deep learning, YOLO object detection, computer vision, TensorFlow, Random Forest, LLM-based
extraction, AI-assisted development
- Data Engineering
- ETL/ELT pipelines, Airflow, Xarray, DuckDB, cloud-native formats (Zarr, COG, Parquet), DAX, web
scraping, data harmonisation
- Cloud & Infrastructure
- AWS (S3, Lambda, EC2), Azure Functions, MinIO object storage, Docker, CI/CD with GitHub Actions,
infrastructure management
- Analytics & Delivery
- Power BI, Tableau, Metabase, dashboard design, technical project management, stakeholder and remote
team leadership
Professional Experience
Data Engineer
March 2025 – Present · Remote
International Water Management Institute (IWMI)
- 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 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 surfacing
380+ evidence-backed demand signals for decision makers.
- Engineered the AI extraction, enrichment, and retrieval components converting raw multi-source data
into usable market and policy intelligence.
Geospatial | Data Engineer | Data Analyst
August 2025 – Present · Remote
Spatialnode (Freelance) · Delaware, United States
- Project-based engagements as data engineer, analyst, or scientist: IWMI Demand Intelligence
Information System (DIIS), IWMI Multidimensional Digital Inclusiveness Index (MDII), and the SFL
Location Intelligence project.
- Handled the full data lifecycle — ingestion, cleaning, preprocessing, transformation,
validation, and storage — using DAX, Python, and Azure Functions.
- Built and maintained CI/CD pipelines automating data processing workflows, dashboard updates, and
report refreshes for reliability and reproducibility.
- Developed interactive Power BI dashboards and analytical reports enabling evidence-based decisions
across Nigeria, Bangladesh, Ethiopia, and other countries.
- Processed, standardised, and analysed 10,000+ records from multi-source, unstructured, and
semi-structured datasets, improving data quality and usability.
Geospatial Data Engineer
June 2025 – Present · Remote
Envirotrust · Germany
- Built scalable ETL pipelines and RESTful APIs serving large geospatial datasets (Zarr, COG, Parquet)
using Xarray, DuckDB, FastAPI, and Titiler for real-time visualisation and analysis.
- Deployed cloud-native infrastructure on AWS (S3, Lambda, EC2) with Docker and GitHub Actions CI/CD
to automate, scale, and maintain geospatial workflows.
- Engineered pipelines sourcing and aggregating diverse geospatial data for wildfire, flood, heat, and
wind risk modelling across Europe.
- Developed scalable aggregation strategies for environmental risk parameters, optimising data
transfer to cloud platforms for scenario modelling.
Technical Project Manager — MSDAT GIS
May 2025 – September 2025 · Contract
eHealth4everyone · Abuja, Nigeria
- 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 and spatial decision
support.
- Owned technical direction across the full stack: tool selection, framework, architecture, backend,
frontend, and design system, building consensus with the team.
- Designed and integrated 10+ analysis tools into a single interface: heat maps, clustering and
hotspot detection, choropleth mapping, buffer and proximity analysis, spatial querying, and layer
overlay.
- Connected the GIS layer to multi-source health indicator data, enabling analysis from national
figures down to state and LGA level in one workflow.
- Built the bulk of the frontend GIS and visualisation layer, using AI tooling for roughly 70% of the
design and frontend build and compressing delivery from months to weeks.
Geospatial Analyst
2023 – 2024 · Hybrid
Milsat Technologies Limited · Abuja, Nigeria
- Performed advanced data analytics to uncover insights and trends, improving decision-making
accuracy.
- Led the design and management of geospatial and statistical dashboards for real-time monitoring.
- Developed and optimised ETL processes and maintained databases for efficient data storage and
retrieval.
Volunteering & Community
Training and Capacity Development Lead
2023 – Present
Spatial and Data Science Society of Nigeria (SDSN)
- Delivered GeoAI and spatial data science workshops across multiple universities nationwide and
coordinated online programmes reaching 500+ participants.
- Led website development and content management, increasing engagement by 40%; mentored 50+ emerging
geospatial professionals.
Geospatial Tutor and Mentor
2023 – Present · Remote
Geoanalytec · Nigeria
- Trained 150+ students across Africa in GIS and remote sensing with an 80% course completion rate.
- Delivered basic and advanced training in Python, QGIS, ArcGIS, and Google Earth Engine; coordinated
10+ GIS events and 30+ weekend training sessions.
Education
B.Tech, Remote Sensing and GIS
2016 – 2023
Federal University of Technology Akure, Nigeria
- GPA 4.25/5.0 (Top 10%) · WES equivalent 3.58/4.0.
- Specialised in remote sensing, GIS fundamentals, and environmental geography, with coursework in
agriculture, forestry, geology, urban planning, and cartography.
Selected Publications
- Monitoring and predicting the influences of land
use/land cover change on cropland characteristics and drought severity using remote sensing
techniques — Taiwo, Kafy, Samuel, et al. Environmental and
Sustainability Indicators 18, 100248 (2023). 105 citations.
- Soil organic carbon stocks as driven by land use in
Mato Grosso State: the Brazilian Cerrado agricultural frontier — Nwaogu, Diagi, Ekweogu,
Ajeyomi, et al. Discover Sustainability 5(1), 382 (2024). 8 citations.
- The Multidimensional
Digital Inclusiveness Index Scoring Dashboard (Version 2.0) — Jolaiya, Nejo,
Ajeyomi, et al. International Water Management Institute, Report (2026).
- A
geoinformation-based analysis of site suitability for dams in a rain-fed agricultural system in
Nasarawa State, Nigeria — Ibitoye, Ajeyomi. Journal of Sustainable
Technology 13(1), 129–146 (2024).
- Geostatistical
modelling of urban heat island effect in Lagos, Nigeria — Onyedikachi, Saheed,
Samuel, et al. SGEM GeoConference (2024).
- A
reclassification-based framework for vegetation greenness assessment across mixed landscapes and
spatial extents — Ajeyomi, Abiala. Journal of Geography, Environment
and Earth Science International 30(2), 45–62 (2026).
- Differential
impacts of nDSM fusion on pixel-based LULC classification using UAV RGB imagery — Joshua,
James, Bello, Ajeyomi, et al. Int. Journal of Advances in Signal and Image
Sciences (2026).
- Assessing the influence of locational suitability on the
spatial distribution of household wealth in Bernalillo County, NM — Okeke, Nelson, Nwaogu,
et al. arXiv:2510.11048 (2025).
Full list of 10 publications on Google Scholar.
Certifications
AWS Certified Cloud Practitioner
Amazon Web Services · 2023–2026
Applied Data Science Lab
WorldQuant University · 2025
Awards
ESRI Young Scholar Africa
ESRI · 2023
Winner — Nigeria Meta Geospatial & Mobility Data Health
Hackathon
Meta / DSN · 2023
Talks & Workshops
Spatiotemporal Analysis and Forecasting of Population Growth Hotspots in
Nigeria
Sept 2025
ESRI User Conference 2025
Building Geospatial Data Pipelines with Open Source Tools (workshop)
Oct 2025
PyCon Nigeria 2025
Nigeria_Geodata: Simplifying Access to Nigerian Geospatial Data ·
Spatial Stats vs Geostatistics (SDSN webinar)
2024–2025