Open to Opportunities

Badre Alloul

Geospatial Data Scientist & Computational Hydrologist

I ship production geospatial systems: flood-risk models, climate data pipelines, and energy-infrastructure tools deployed across Europe, North Africa, and MENA. Python-first, HPC-ready, GIS-native.

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Background

About Me

Hydraulic engineer by training, geospatial engineer by practice.

I build end-to-end spatial workflows: ingest satellite data, run hydrological models, store in PostGIS/BigQuery, and serve via APIs or dashboards. I keep pipelines reproducible, tested, and documented.

Experience across research (INRAe), energy (ENGIE/CNR), catastrophe risk (REOR20), and public infrastructure (ANBT) keeps the work grounded in real constraints and operational delivery.

Languages

French Native

Arabic Native

English C2 Professional

Career

Professional Experience

Apr 2025 – Sep 2025

Geospatial Software Engineer

INRAe — French National Research Institute for Agriculture, Food and Environment

Lyon, France

Productionized a flood-damage prototype into a modular Python package with tests.
Built and deployed a PyQGIS plugin (NDVI/EVI/NDWI/NBR) for field teams; delivered FR/EN docs and training.
Dask/xarray workflows on SLURM for Sentinel-2 and ERA5-Land (TB-scale), cutting runtimes from days to hours.
Integrated STAC (Copernicus, Theia) with hydrological stats (Q10/Q50/Q90, low-flow) for API export.
Trained U-Net/DeepLabv3+ on multi-GPU SLURM for land-cover segmentation.

Python Dask xarray PyQGIS SLURM PyTorch STAC

Nov 2023 – Apr 2025

Computational Hydrologist

REOR20 AG — Catastrophe Risk Modeling

Zurich, Switzerland

Built production 2D flood pipelines and a serverless hazard platform.

S3/STAC/COG data lake for hazard data; backbone for scalable ingestion and serving.
Dask/xarray climate pipelines (NetCDF/GRIB) tuned for SLURM with preemptible nodes.
FastAPI/Pydantic REST API on PostGIS hazard layers; sub-second responses for dashboards.
Country-scale DEM automation (GDAL/SAGA) into analysis-ready COGs; removed manual steps.
U-Net (TorchGeo, Sentinel-2) for building footprints in flood-damage exposure workflows.

FastAPI PostGIS AWS S3 GDAL TorchGeo Docker COG

Mar 2021 – Oct 2023

Energy Systems & Data Engineer

ENGIE — Compagnie Nationale du Rhône — Hydropower & Renewable Energy

Lyon, France

Geospatial data systems for hydropower operations and renewable planning.

Cloud reporting on S3 + Lambda for hydropower/climate indicators used in steering and regulatory reporting.
SCADA + ERA5 fusion to forecast hydropower production; quantified curtailment and revenue scenarios for ENEDIS/RTE.
Dam cascade graph (NetworkX) for dependency and risk analysis of interconnected assets.
PV/wind site-suitability (GeoPandas + MCDA) to prioritize 5,000+ opportunities with grid-connection alignment.
OnSSET least-cost electrification for off-grid sites (PV, wind, hybrid), combining ERA5, settlements, and reinforcement costs.

Python AWS Lambda NetworkX GeoPandas ERA5 SCADA OnSSET

Technical Report (MSc Internship)

Oct 2019 – Aug 2020

GIS & Spatial Database Engineer

ANBT — National Agency for Dams and Water Transfers

Algiers, Algeria

Geospatial infrastructure for national water-resource planning and dam siting.

Designed a PostgreSQL/PostGIS database for 150+ dams, achieving sub-500ms spatial query performance for planning applications.
Optimized database performance via partitioned tables and multi-column GiST indexes, reducing complex spatial join latency from minutes to under 1 second.
Automated derivation of IDF curves for ungauged basins, reducing manual analysis from hours to minutes and accelerating site-selection.
Developed a PyQGIS plugin for automated DEM analysis and watershed delineation, enabling field teams to evaluate dam sites efficiently.

PostgreSQL PostGIS PyQGIS ArcPy Hydrology

Technical

Tech Stack

Tools and technologies used to build production geospatial systems

Geospatial & GIS

Vector/raster processing and GIS platforms.

GeoPandas

Rasterio

GDAL/OGR

QGIS/PyQGIS

Shapely

Fiona

PyProj

ArcGIS/ArcPy

GeoServer

Data Processing & Analysis

Large-scale data manipulation and array computing.

NumPy

Pandas

Dask

xarray

SciPy

Zarr

NetCDF

GeoTIFF

GRIB

Spatial Databases

Geospatial storage, indexing, and querying.

PostgreSQL

BigQuery

PostGIS

GeoParquet

GiST Indexing

Cloud & HPC

Scalable compute for geospatial workflows.

AWS

Docker

Lambda

EC2

SLURM

Apptainer/Singularity

Azure

Remote Sensing & ML

Satellite imagery analysis and deep learning.

PyTorch

scikit-learn

TorchGeo

U-Net

Sentinel-2

Landsat

STAC

COG

NDVI/EVI/NDWI

APIs & Visualization

Web services, mapping, and data visualization.

FastAPI

REST APIs

Leaflet

Folium

Mapbox

WMS/WFS

Programming & DevOps

Core languages, version control, and delivery.

Python

Bash

Git

SQL

Lua

pytest

CI/CD

Linux

Academic

Education

2020 – 2021

MSc Hydraulics, Civil & Environmental Engineering

Grenoble INP — ENSE3 Graduate School of Sustainable Engineering for Energy, Water & Environment

Grenoble, France

Grande École Mention Très Bien

View Program Details

2016 – 2019

Engineering Degree — Water Resources Engineering

ENSH — École Nationale Supérieure d'Hydraulique National Higher School of Hydraulics

Blida, Algeria

Top of Class French Government Excellence Scholarship

Visit School Website

2014 – 2016

Preparatory Classes — Applied Mathematics & Physics

École Nationale Polytechnique d'Algérie National Polytechnic School of Algeria

Algiers, Algeria

Ranked 2/900 at National Engineering Entrance Exam

Visit School Website

Portfolio

Projects

Selected work demonstrating technical depth and domain expertise

Open Source

GEO-AI-Vision for Saudi Arabia

Geospatial AI pipeline for land-use and environmental monitoring in arid regions using Sentinel-2 and U-Net segmentation.

Python PyTorch Sentinel-2 U-Net GeoPandas

View Repository

2nd Place — Hackathon

IDWS Miyahthon 2024 — Jeddah, KSA

2nd place, Water Technologies Hackathon. Built a micro-hydroelectric optimization model in 48h for rural water/energy design with Python + EPANET.

Python EPANET Optimization Hydraulics

Interactive Demo

Lyon Flood Lab

Interactive flood-extent simulation with depth-damage curves, mitigation ROI, and scenario exploration.

Leaflet Chart.js JavaScript

Launch Demo

Interactive Demo

Supply Chain Analyzer

Network-based agricultural supply chain analysis with vulnerability assessment, routing, and climate risk overlays.

NetworkX GeoPandas Plotly

Launch Demo

Writing

Technical Writing

Sharing knowledge on HPC and geospatial workflows

Apptainer vs Docker: HPC Parallel Workloads

In exascale-bound labs tackling multi-node MPI for fluid dynamics or climate sims on SLURM clusters, containers must integrate without friction.

HPC Apptainer Docker MPI

Read on LinkedIn

Apptainer vs Module: HPC Workflows

In HPC clusters running distributed hydrological models, the choice between module environments and Apptainer containers determines reproducibility.

Wflow Julia Hydrology

Read on LinkedIn

Let's Work Together

Open to consulting, research collaboration, and full-time opportunities in geospatial data science, climate risk analytics, and sustainable infrastructure.

Email badrallouldjazairi@gmail.com

Phone +33 6 05 88 73 72

LinkedIn Connect with me

GitHub View my code

Based in Lyon, France — Available Worldwide