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1 | 1 | # Badre Abderrahmane Alloul |
2 | | - |
3 | 2 | **Geospatial Data Scientist & Computational Hydrologist** |
4 | | -*Turning research prototypes into production-grade spatial systems.* |
| 3 | +*From research notebooks to production systems: flood, climate, energy.* |
5 | 4 |
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6 | | -[](https://badibosspy.github.io) |
| 5 | +[](https://badibosspy.github.io) |
7 | 6 | [](https://linkedin.com/in/badre-abderrahmane-alloul) |
8 | | -[](mailto:[email protected]) |
| 7 | +[](mailto:[email protected]) |
9 | 8 |
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10 | 9 | --- |
11 | 10 |
|
12 | | -### ◈ What I Do |
13 | | - |
14 | | -I build scalable, automated workflows for **flood modeling**, **climate risk analytics**, and **energy infrastructure planning**. My work bridges the gap between scientific code (notebooks, prototypes) and reliable production systems (pipelines, APIs, dashboards). |
15 | | - |
16 | | -### ◈ Core Expertise |
| 11 | +## What I actually do |
| 12 | +I design and ship geospatial workflows that withstand production: flood-risk models, climate data pipelines, and energy-infrastructure analytics. Everything is tested, containerized, and documented. |
17 | 13 |
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18 | | -| Domain | Focus Areas | |
19 | | -| :--- | :--- | |
20 | | -| **Computational Hydrology** | Flood risk modeling, dam safety analytics, hydrological simulation (Wflow-SBM, HEC-HMS). | |
21 | | -| **Energy Systems** | Hydropower optimization, renewable site suitability, off-grid electrification planning (OnSSET). | |
22 | | -| **Geospatial Engineering** | High-performance raster/vector processing, spatial databases, and automated mapping pipelines. | |
| 14 | +## Core capability map |
| 15 | +| Domain | What I deliver | |
| 16 | +| :-- | :-- | |
| 17 | +| Computational Hydrology | Flood modeling, dam safety analytics, hydrological simulation (Wflow-SBM, HEC-HMS). | |
| 18 | +| Energy Systems | Hydropower optimization, renewable siting, off-grid least-cost electrification (OnSSET). | |
| 19 | +| Geospatial Engineering | High-performance raster/vector pipelines, spatial DB design, automated mapping. | |
23 | 20 |
|
24 | | -### ◈ Technical Stack |
| 21 | +## Stack I actually use |
| 22 | +`Python · GeoPandas · Rasterio · GDAL · PostGIS · QGIS · Dask · xarray · NumPy · Pandas · SciPy · TorchGeo · U-Net · STAC · COG · AWS (S3/Lambda/EC2) · Docker · SLURM · FastAPI` |
25 | 23 |
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26 | | -* **Geospatial**: `GeoPandas` `Rasterio` `GDAL` `QGIS` `PostGIS` `Shapely` |
27 | | -* **Computation**: `Dask` `xarray` `NumPy` `Pandas` `SciPy` |
28 | | -* **Infrastructure**: `AWS (S3, Lambda)` `Docker` `SLURM` `FastAPI` |
29 | | -* **Remote Sensing**: `Sentinel-2` `TorchGeo` `U-Net` `STAC` `COG` |
| 24 | +## Selected outcomes (concise) |
| 25 | +- **INRAe (2025)**: National flood-damage analysis cut from days to hours (Dask/xarray on SLURM); PyQGIS plugin (NDVI/EVI/NDWI/NBR) deployed to field teams with FR/EN docs. |
| 26 | +- **REOR20 (2023–2025)**: Serverless flood-risk data lake (S3/STAC/COG); country-scale DEM automation (GDAL/SAGA); FastAPI + PostGIS hazard API with sub-second reads. |
| 27 | +- **ENGIE / CNR (2021–2023)**: Hydropower forecasts (SCADA + ERA5), cascade dependency graph (NetworkX), PV/wind siting (GeoPandas + MCDA), OnSSET least-cost off-grid scenarios. |
| 28 | +- **ANBT (2019–2020)**: PostGIS schema for 150+ dams with sub-500 ms queries; IDF automation for ungauged basins; PyQGIS DEM/watershed tool for field teams. |
30 | 29 |
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31 | | -### ◈ Selected Experience |
32 | | - |
33 | | -* **INRAe** (2025): Optimized nationwide flood damage analysis, reducing processing time from days to hours using Dask/SLURM. |
34 | | -* **REOR20** (2023–2025): Architected a serverless flood-risk data lake and automated country-scale DEM processing pipelines. |
35 | | -* **ENGIE / CNR** (2021–2023): Built operational forecasting tools for a 4GW hydropower portfolio and renewable energy site selection systems. |
36 | | -* **ANBT** (2019–2020): Designed the foundational spatial database for 150+ dams to support national water resource planning. |
| 30 | +## How I work |
| 31 | +- Reproducible: versioned environments, containers, tests. |
| 32 | +- Scalable: chunked arrays, lazy eval, HPC/SLURM patterns. |
| 33 | +- Observable: metrics, validation steps, and clear handover docs. |
| 34 | +- Direct: no buzzwords—only what runs and serves. |
37 | 35 |
|
38 | 36 | --- |
39 | 37 |
|
40 | | -> *"Precision is the only substitute for scale."* |
41 | | -
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42 | | -[**Explore my full portfolio & interactive projects →**](https://badibosspy.github.io) |
| 38 | +**Let’s build: ** [badibosspy.github.io ](https://badibosspy.github.io) · [LinkedIn ](https://linkedin.com/in/badre-abderrahmane-alloul) · [Email ](mailto:[email protected]) |
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