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Carolina Aldunate

@carolinaaldunate

Water Resources Engineer at Soil Capital who built a Microsoft Fabric pipeline for climate data and drought-risk indicators.

Belgium

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At Soil Capital, I built a Bronze-Silver-Analytics pipeline in Microsoft Fabric for ERA5-Land and Copernicus EDO drought data. I derived agrometeorological variables and drought-risk indicators, then validated reanalysis data against ground-based weather stations.

At HAEDES, I built Python tools for meteorological data processing, evapotranspiration, and automated raster zonal statistics. I also developed a quality-assurance pipeline for the Mirax platform’s basemap and overlay catalog.

As an independent Water Resources & Climate Change Consultant, I analyzed satellite precipitation data and downscaled climate projections for hydrological applications. My project work includes the dClimate application for climate-model processing and statistical downscaling, and a reservoir water-balance simulation to support risk-based sizing decisions.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Soil Capital

May 2026 - Jul 2026 (2 months)

Built a Bronze-Silver-Analytics data pipeline in Microsoft Fabric ingesting ERA5-Land reanalysis and Copernicus EDO drought data for multiple countries. Derived agrometeorological variables and agroclimatic indicators for drought risk assessment and validated reanalysis-derived variables against ground-based weather station observations.

Microsoft Fabric PySpark Spark SQL ERA5 Land Copernicus EDO ET0 Agrometeorological Indicators Data Validation Python

Geospatial Engineering Intern

HAEDES

Aug 2025 - Sep 2025 (1 month)

Built a pipeline to acquire and gap-fill sub-hourly meteorological data from the Waterinfo Vlaanderen API. Implemented and validated an hourly evapotranspiration function (FAO-56 Hargreaves) and built reusable Python clients for raster zonal statistics via GeoServer's WPS/WCS service.

Python API Integration Gap Remediation Hargreaves ET0 Geoserver WPS WCS QGIS QA Pipelines NetCDF

Water Resources & Climate Change Consultant

Independent

Jan 2022 - Jan 2025 (3 years)

Processed and analyzed precipitation datasets from multiple satellite sources for hydroclimatic variability assessment and climate change scenario analysis. Applied statistical downscaling methods to translate regional climate projections into local hydrological inputs for government adaptation planning.

Satellite Data Processing CHIRPS GPM NASA Statistical Downscaling QDM Delta Change CORDEX Water Balance Hydrologic Modeling

Junior Water Resources Consultant

Universidad Mayor de San Simón – Hydraulics Laboratory

Sep 2022 - Jan 2023 (4 months)

Analyzed temporal and spatial water availability across multiple monitoring stations. Developed rating curve optimization algorithms and generated technical reports for government water resource planning decisions.

water availability analysis Rating Curves Optimization Technical Reporting Python

Research Assistant

Universidad Mayor de San Simón – Hydraulics Laboratory

Apr 2021 - Jan 2022 (9 months)

Automated hydrometeorological data collection and processing workflows using Python. Calibrated and maintained precipitation and temperature monitoring equipment and conducted topographic surveys and GIS mapping for reservoir optimization studies.

Python Data Automation Hydrometeorology Equipment Calibration Topographic Surveys GIS

Education

Degrees, certifications, and relevant coursework

Vrije Universiteit Brussel (VUB)

Master of Science, Water Resources Engineering

2024 -

Grade: Cum Laude

Joint MSc program in Water Resources Engineering with KU Leuven, focusing on hydrology and geospatial data science.

KU Leuven

Master of Science, Water Resources Engineering

2024 -

Grade: Cum Laude

Activities and societies: VLIR-UOS Scholarship recipient; Master's thesis on Blue and Green Water Analysis with Temporal LULC Classification.

Pursuing a Master of Science in Water Resources Engineering with a thesis on blue and green water analysis using temporal LULC classification. Awarded a competitive VLIR-UOS scholarship.