NARMAR GIS, home

Mina Narmar

GIS engineer, data engineer and web developer

5+ years building web maps, spatial databases and machine learning pipelines that turn satellite and sensor data into decisions.

2014 - 2019

Bachelor of Civil Engineering

Cairo, Egypt

Civil engineering gave me the technical base: surveying, structures and CAD. A summer with AIESEC in Romania added teaching and teamwork in an international group.

  • Bachelor of Civil Engineering

    Cairo University, Cairo

    2014 - 2019

  • Volunteer

    AIESEC, Craiova

    Jul 2018 - Sep 2018

2019 - 2021

GIS and remote sensing in practice

Cairo, Egypt

My first GIS role, on Egypt's National Spatial Data Infrastructure: processing remote sensing data and building national spatial layers for a government ministry.

  • GIS & Remote Sensing Engineer

    EDGE Pro for Information Systems, Cairo

    Mar 2020 - Sep 2021

2021 - 2023

M.Sc. Innovative Solutions in Geomatics

Vilnius, Lithuania and Riga, Latvia

A joint geomatics degree across two universities: remote sensing, GNSS, laser scanning and Python. I joined ViaGIS during it and started building production web maps.

  • M.Sc. Innovative Solutions in Geomatics (Joint Degree)

    VILNIUS TECH & Riga Technical University, Vilnius

    2021 - 2023

  • GIS Data Engineer

    ViaGIS, Vilnius

    Jun 2022 - Jul 2026

2023 - 2027

PhD in Environmental Science

Vilnius, Lithuania

Machine learning for air-quality forecasting from satellite, ground-station and weather data, alongside four years of GIS engineering at ViaGIS. Published and presented in Lithuania, Czechia and France.

  • PhD Candidate, Environmental Science

    Vilnius Gediminas Technical University (VILNIUS TECH), Vilnius

    2023 - 2027

  • GIS Data Engineer

    ViaGIS, Vilnius

    Jun 2022 - Jul 2026

  • Conference presentation

    “A Comparative Analysis of Machine Learning Techniques for PM10 Forecasting in Vilnius”

    ICEMSR 2024, Prague, 2024

  • Conference presentation

    “Satellite-Driven Monitoring and Prediction of Atmospheric Nitrogen Dioxide in Lithuania”

    ICEEA, Paris, 2025

  • Research Intern, Department of Natural Resources and Environment

    University of Vigo, Vigo

    Mar 2026 - Jun 2026

What I can do for your team

Three roles I have worked in, each backed by delivered projects or published results.

  • GIS engineering

    Spatial data infrastructure, from raw imagery to published, quality-checked layers.

    • Built national spatial data layers for Egypt's Ministry of Planning and Economic Development at EDGE Pro.
    • Published and maintained GeoServer and MapServer layers behind production web maps at ViaGIS.
    • Standardized and quality-checked GIS datasets against project specifications.
    • Remote sensing processing in SNAP, ERDAS IMAGINE and Google Earth Engine.
    • QGIS
    • ArcGIS Pro
    • GeoServer
    • MapServer
    • Google Earth Engine
    • SNAP
    • ERDAS IMAGINE
    • Hexagon GeoMedia
  • Data engineering and ML

    Spatial databases and prediction pipelines for environmental data.

    • Designed PostgreSQL/PostGIS databases for complex spatial data at ViaGIS.
    • Built daily PM10 prediction pipelines from satellite, ground-station and weather data.
    • Reached R² 0.615 and RMSE 6.37 µg/m³ on six years of Lithuanian PM10 data (2026 paper).
    • Python
    • PostgreSQL
    • PostGIS
    • Random Forest
    • XGBoost
    • AWS
  • Web development

    Interactive mapping applications for agencies and companies.

    • Four years building React and Material UI front ends on OpenLayers and Leaflet at ViaGIS.
    • Connected front ends to GeoServer and PostGIS back ends.
    • Troubleshot and optimized GIS applications for reliability and performance.
    • React
    • JavaScript
    • Angular
    • Redux
    • Material UI
    • OpenLayers
    • Leaflet
    • Git

Selected projects

From national spatial data infrastructure to air-quality forecasting.

Doctoral research, VILNIUS TECH, 2024 - 2026

PM10 forecasting for Lithuania

A forecasting pipeline that combines Sentinel-5P satellite data, ground-station measurements and ERA5 meteorological reanalysis to predict daily PM10 across Lithuania with a hybrid Random Forest and XGBoost framework.

  • Python
  • Random Forest
  • XGBoost
  • Sentinel-5P
  • ERA5
  • Google Earth Engine
Read the paper in Sustainability
  1. Inputs

    • Sentinel-5P satellite data
    • Ground-station PM10
    • ERA5 meteorology
  2. Model

    • Hybrid Random Forest + XGBoost
  3. Output

    • Daily PM10 estimates across Lithuania
  • Enterprise web mapping suite

    ViaGIS, 2022 - 2026

    React and Material UI front ends on OpenLayers and Leaflet, backed by GeoServer and PostGIS, for agencies and companies across the Baltics.

    • React
    • Material UI
    • OpenLayers
    • Leaflet
    • GeoServer
    • PostGIS
  • National Spatial Data Infrastructure, Egypt

    EDGE Pro, for the Ministry of Planning and Economic Development, 2020 - 2021

    Spatial data layers and system administration procedures for Egypt's national SDI, built from processed remote sensing data.

    • Hexagon
    • Remote sensing
    • Spatial databases
  • NO₂ monitoring from Sentinel-5P

    Doctoral research, 2025

    Retrieval and prediction of atmospheric nitrogen dioxide over Lithuania from Sentinel-5P TROPOMI data. Presented at ICEEA in Paris and published in IJESD.

    • Sentinel-5P
    • Python
    • Google Earth Engine
  • Satellite image classification

    Master's thesis, 2023

    Compared CNN, Random Forest and SVM land-cover classification on 3 m PlanetScope and 10 m Sentinel imagery.

    • PyTorch
    • SNAP
    • QGIS
  • Marine cadastre comparison

    FIG Congress 2022, Warsaw (co-author), 2022

    Compared the legal and cartographic set-up of marine cadastres in Latvia, Lithuania and Egypt.

    • Cadastre
    • Cartography

Toolkit

The software, languages and methods I work with day to day.

GIS and remote sensing

  • QGIS
  • ArcGIS Pro
  • ArcGIS Online
  • Hexagon GeoMedia
  • M.App Enterprise
  • SNAP (ESA)
  • ERDAS IMAGINE
  • Google Earth Engine

Web mapping and spatial databases

  • OpenLayers
  • Leaflet
  • GeoServer
  • MapServer
  • PostgreSQL
  • PostGIS

Programming and front end

  • Python
  • JavaScript
  • React
  • Angular
  • Redux
  • Material UI

Data science and ML methods

  • Random Forest
  • XGBoost
  • Gaussian process regression
  • Spatial imputation (IDW, MICE)

Tools and cloud

  • Git
  • GitLab
  • AWS
  • Jira

CAD, BIM and 3D

  • AutoCAD
  • Revit
  • OpenBuildings Designer
  • ContextCapture
  • Descartes
  • CloudCompare
  • MeshLab
  • Blender

Languages

English, Arabic, Lithuanian (basic)

Publications

9 papers and talks on air-quality modelling, remote sensing and geomatics, published under M. A. S. Fahim.

Show all 9 publications
  • 2025

    Assessing AI Algorithms for Predictive Modeling of Spatiotemporal PM10 Air Pollution

    M. A. S. Fahim, J. Sužiedelytė Visockienė, R. Grubliauskas

    28th Conference for Junior Researchers “Science – Future of Lithuania”

  • 2024

    Air Pollution Sources and Their Impact on the Environment

    M. A. S. Fahim, J. Sužiedelytė Visockienė

    27th Conference for Junior Researchers “Science – Future of Lithuania”

  • 2024

    Air Quality and Environmental Health: Evaluating Pollution Sources and Mitigation Strategies

    M. A. S. Fahim, J. Sužiedelytė Visockienė

    Poster, Vilnius University conference for Prof. Juozas Paškevičius's 100th birthday

  • 2023

    AI-Based Satellite Image Classification: An Analysis of Different Algorithms on PlanetScope and Sentinel Imagery

    M. A. S. Fahim, J. Sužiedelytė Visockienė

    26th Conference for Junior Researchers “Science – Future of Lithuania”

  • 2022

    Characteristics and Dynamics of the Latvian, Lithuanian, and Egyptian Marine Cadastre

    J. Kaminskis, L. Neimane, M. A. S. Fahim, K. Jankunas, I. Stamure

    FIG Congress 2022, Warsaw, Poland

Hiring for GIS, data or web roles? Let’s talk.

Open to GIS engineer, data engineer and web developer roles, on site or remote.

Vilnius, Lithuania