●  Lagos, Nigeria

Surveying & Geoinformatics Professional

OladimejiOmotayoOlaogun

From physical measurements in the field to spatial intelligence and software-driven solutions.

Explore my workLet's connect
  1. Field
  2. Data
  3. Analysis
  4. Software
  5. Solution

+234 701 470 8663/oladimeji2705@gmail.com

01Profile

Trained to measure the ground. Working to make it computable.

I'm Oladimeji — DMX to most people — a surveying and geoinformatics professional based in Lagos. My work started in the field: instruments on tripods, traverses, boundary beacons and land-title surveys, including time in the Office of the State Surveyor General, Lagos State.

The field taught me that every map is only as good as the coordinates beneath it. That is why my GIS work — network analysis, suitability modelling, street-guide mapping, geospatial reporting — begins with the reference system and the checks, not the colours.

More and more, the next step is software: Python that produces client reports, automated QGIS symbology, and web tools built with TypeScript and Next.js. Survey knowledge, GIS analysis and programming in one practice.

Field survey assistant
≈3 yrs
Geospatial case studies
07
Lagos LGAs street-mapped
05
CGPA, B.Sc. Surveying & Geoinformatics
4.0/5

Method · accuracy first

  1. Control first

    Decide the datum and projection before measuring anything. Degrees are not metres.

  2. Check against the ground

    Layers are verified against each other and against what was observed in the field before they are styled.

  3. Automate the repeatable

    If a map has to be made twice, the second time is a script.

02Field → Solution

One chain, from a tripod to a tool.

Most of my work moves along the same line. Each step depends on the one before it being right.

  1. Measure it properly.

    • Survey instruments
    • GNSS / DGPS
    • Total station
    • Drone
    • Field observations

    Traverse, topographic, cadastral and construction surveys; beacons and pillars; land title search and reports.

03Journey

Field crew, survey office, remote GIS desk, founder.

Roles as they appear on my CV. Durations are shown where recorded; other dates are available on request.

  1. Venture

    Present

    Founder

    O3NEX · Lagos, Nigeria

    A technology venture bridging frontend software development, GIS / spatial analysis and geomatic engineering. Most of the case studies below were delivered through it.

    • Five-LGA Street Guide contract
    • Site-suitability studies
    • Construction BOQ for Galaxy Construction Company
    • Web builds in TypeScript / Next.js

  2. Field

    Approx. 3 years

    Survey Assistant

    His Glory Survey & Geoinformatics · Lagos, Nigeria

    The field years with an independent survey firm, later continued as remote GIS / survey support.

    • Field surveying
    • Remote GIS / survey support

  3. Government

    3 months

    Graduate Intern & Freelance Surveyor

    Office of the State Surveyor General, Lagos State

    Inside the state's survey administration, where records, titles and coordinates carry legal weight.

  4. Training

    3 months + 6 months

    SIWES Placement & Industrial Training

    Office of the State Surveyor General, Lagos State

    Two industrial-training placements at the same office.

    • SIWES — 3 months
    • Industrial training — 6 months

  5. Remote

    Dates on request

    Remote GIS / Survey Support

    Majekodunmi Surveys Ltd · Surv Emeka Survey · His Glory Survey & Geoinformatics

    Freelance GIS and survey support delivered remotely to three survey practices.

  6. Consulting

    Dates on request

    Freelance GIS Consultant & Client Projects

    Independent · Online · project and contract basis

    GIS and geospatial work for clients on a project and contract basis.

  7. Site

    Dates on request

    On-Site Surveyor

    Client Projects · Project and contract basis

    Surveying on site for client projects.

  8. Site

    Dates on request

    Building Project Manager

    Client Projects · Project and contract basis

    Managing building projects for clients.

    • Building / construction project management
    • BOQ preparation (foundation to DPC)

04Selected work

Seven problems. Each one with a place, a dataset and a method.

FIG. 01Schematic
STATIONINC-1INC-2INC-3INC-4d₁ → min(cost)
Schematic of the method — illustrative, not project data.
01Completed· B.Sc. dissertation

GIS-Based Emergency Response Route Optimization

Fire Service — Alausa Secretariat, Ikeja, Lagos

Problem

When a fire is reported, which road path gets the appliance from the station to the incident fastest?

Data
  • Road network
  • Fire station point layer
  • Fire incident point layer
Method

Built the fire-station and fire-incident point layers, then ran shortest-path network analysis with QGIS's native:shortestpathpointtolayer. GeoPackage became the project's storage format, a pattern carried into all later GIS work.

Technology
  • QGIS
  • GeoPackage
  • QGIS Processing
  • Shortest-path analysis
Result

Shortest-path routes from the station to the incident locations, stored in GeoPackage.

FIG. 02EPSG:4326 → EPSG:32631
AGEGEALIMOSHOIKORODUOSHODI-ISOLOSHOMOLU4326 → 32631
Schematic of the method — illustrative, not project data.
02Completed

Multi-LGA Street Guide Mapping

Agege · Alimosho · Ikorodu · Oshodi-Isolo · Shomolu

Problem

Five local government areas needed consistent street guides — roads, boundaries and bus stops that line up.

Data
  • OpenStreetMap roads
  • Administrative boundaries
  • Bus stops
Method

Built boundary layers per LGA and derived classified road networks (major / primary / secondary / footpath) from OSM, leaving the source layers untouched, plus bus-stop master layers where required. Each QGIS project stayed CRS-consistent (EPSG:4326 / EPSG:32631) and restricted to its administrative boundary. Uncertain locations were flagged rather than guessed: accuracy over point count.

Technology
  • QGIS
  • OpenStreetMap
  • EPSG:4326
  • EPSG:32631 / UTM 31N
Result

Street Guide datasets for five Lagos LGAs, delivered under contract through O3NEX.

FIG. 03Schematic
C1C2C3C4C5▢ candidate site◯ competitor spacingΣ w·x → composite score → rank
Schematic of the method — illustrative, not project data.
03Completed

Ikorodu Supermarket Site-Suitability Study

Ikorodu, Lagos

Problem

Where should a new supermarket go, given the competition already on the ground?

Data
  • Five candidate sites
  • Competing supermarket locations
Method

Scored five candidate sites on a composite suitability index that included competitive spacing, then ranked them.

Technology
  • QGIS
  • Python
  • ReportLab
Result

Five candidate sites ranked by composite score, delivered as a client-ready PDF generated with Python / ReportLab.

FIG. 04Schematic
SuitableModerateFlood hazardWFS / WMS · SAXONY
Schematic of the method — illustrative, not project data.
04Completed

Leipzig Residential Suitability Analysis

Leipzig, Germany

Problem

Which land in Leipzig suits residential development once flood hazard and land use are considered?

Data
  • Flood hazard
  • Land use
  • Saxony open geospatial data
Method

Integrated Saxony state WFS flood-hazard layers and WMS land-use data into a residential suitability workflow.

Technology
  • QGIS
  • WFS
  • WMS
  • Saxony open data
Result

A residential suitability assessment for a Leipzig site, built on authoritative state web services.

FIG. 05Schematic
COPERNICUS GLO-30 · 30 mIN PROGRESS
Schematic of the method — illustrative, not project data.
05In progress

LCU Flood Analysis

LCU study area

Problem

Where is the LCU study area exposed to flooding, based on terrain?

Data
  • Copernicus GLO-30 DSM
Method

Copernicus GLO-30 DSM elevation data sourced and prepared for the study area. Currently at the reprojection stage (EPSG:4326 to EPSG:32631).

Technology
  • QGIS
  • Copernicus GLO-30 DSM
Result

In progress — results will be published when the analysis is complete.

FIG. 06Schematic
OGUN · ZONESLAGOS · ZONESclip → style.qml → export ×n
Schematic of the method — illustrative, not project data.
06Completed

Multi-State Zone Boundary & Symbology Automation

Lagos · Ogun

Problem

Many datasets, two states, one look — without restyling every layer by hand.

Data
  • Zone boundaries
  • Multiple thematic datasets
Method

Multi-layer clipping to zone boundaries across Lagos and Ogun State datasets, with symbology transferred programmatically between layers.

Technology
  • QGIS
  • Programmatic symbology transfer
Result

Consistent cartographic styling across the whole clipped dataset.

FIG. 07EPSG:32631
n = 57EPSG:32631 · IKEJA
Schematic of the method — illustrative, not project data.
07Completed

Ikeja Supermarket Point-Layer & Geocoding

Ikeja, Lagos

Problem

A list of supermarkets is not a map. It needed to become one.

Data
  • 57 supermarket locations
Method

Geocoded the locations and built a point layer in UTM Zone 31N.

Technology
  • QGIS
  • Geocoding
  • EPSG:32631
Result

A 57-feature supermarket point layer in EPSG:32631, ready for analysis.

05Expertise

A practice, not a list of percentages.

This maps the range of my work, not equal depth in every tool. Tags marked with project numbers were used in the case studies above.

Surveying & Geomatics

10 items

Where every dataset starts: instruments, control and the ground truth.

  • GNSS / RTK / DGPS
  • Total Station
  • Traverse Surveying
  • Setting Out
  • Topographic Surveying
  • Cadastral Surveying
  • Engineering & Construction Surveying
  • Geodetic Surveying
  • Survey Beacons & Pillars
  • Land Title Search & Reports

Also in the toolkit

  • Data visualisation
  • Graphic design
  • UI / UX
  • Technical writing
  • Microsoft Office
  • Communication
  • Team leadership
  • Construction BOQ preparation
  • Building / project management
  • Technical document review
  • Citation auditing

06Workstation

The desk where field data becomes a decision.

A working model of the environment I spend my days in — layers, control points, contours, a network route and live coordinates in UTM 31N. Drag to pan, select features to identify them.

workstation.demo — EPSG:32631
Demo data · fictional geometry
P-001P-002P-003P-004P-005P-006Station SIncident I
Layers
● Ready · 7/7 layersMove across the map1 : 2,500 · WGS 84

All geometry above is invented for demonstration and does not represent real survey data. The viewport is provider-agnostic: the same layers can be handed to Leaflet, OpenLayers, Mapbox or Cesium.

07Software

From using tools to building them.

Surveying, GIS, spatial data, programming and web technology — the same problems, now solved in code that can be rerun, shared and shipped.

route_analysis.pyPyQGIS
1# shortest path: station → every incident2result = processing.run(3    "native:shortestpathpointtolayer",4    {5        "INPUT": roads,6        "START_POINT": station,7        "END_POINTS": incidents,8        "STRATEGY": 0,9        "OUTPUT": "routes.gpkg",10    },11)
The network step behind Project 01, written as a script instead of clicks. Simplified.

GEO3NEX SOFTWARE

Founder / Owner

A software initiative focused on surveying, geospatial and field-work technology — tools shaped by the way survey and GIS work is actually done.

Products will be listed here as they are released.

O3NEX

Founder / Owner

A technology venture bridging frontend development, GIS / spatial analysis and geomatic engineering, and the vehicle for most of my client work.

08Record

People, teams & organisations I've worked with.

  • Government

    Office of the State Surveyor General, Lagos State

    Graduate intern & freelance surveyor; SIWES and industrial training

  • Survey practice

    His Glory Survey & Geoinformatics

    Survey assistant (approx. 3 years); remote GIS / survey support

  • Survey practice

    Majekodunmi Surveys Ltd

    Remote GIS / survey support

  • Survey practice

    Surv Emeka Survey

    Remote GIS / survey support

  • Construction

    Galaxy Construction Company

    Construction BOQ (foundation to DPC) for a church / vocational-centre project in Ikorodu

Education

B.Sc. Surveying and Geoinformatics

Lead City University, Ibadan, Nigeria

CGPA
4.0 / 5.0
Graduating
December 2026
  • Year-long QGIS training
  • 3-month bricklaying training

Certifications & training

  1. 01Industrial Relations and Personnel Management (IRPM)
  2. 02GIS training
  3. 03Surveying apprenticeship
  4. 04Bricklaying training
  5. 05AI and Automations course

Research & review

  • B.Sc. dissertation “Fire Assessment”: fire-risk and emergency-response route analysis, Alausa Secretariat, Ikeja.
  • Independent structural and citation review of an HND dissertation on GNSS signal obstruction in Mokola, Ibadan.

Languages

English · Yoruba · German

Currently learning

  • Backend Development

09Contact

Let's build something that understands location.

Have a problem that involves space, data or the physical world? Survey, GIS analysis or a tool to build — tell me about it.

Email
oladimeji2705@gmail.com
Phone
+234 701 470 8663
Location
Lagos, Nigeria
LinkedIn
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