At Stockholm Environment Institute Tallinn Centre (SEI Tallinn), I analyzed multi-source data for the Regions4Climate Project. I developed reproducible analytical workflows and scenario-based models, then created dashboards, visualizations, and maps to communicate findings.
At Universidad Regional Amazonica Ikiam, I collected, managed, and validated experimental datasets for scientific research. I applied statistical and spatial analysis to interpret complex data and maintained documentation of procedures and results.
As a Climate Data Scientist intern at Instituto Nacional de Meteorologıa e Hidrologıa, I used the WRF4 model to forecast weather conditions and analyze patterns. I processed meteorological data with Python and SQL and prepared visual reports and maps.
My background includes a Bachelor in Engineering Geoscience and an MSc in Geo-information Science and Earth Observation for Environmental Modelling and Management, specializing in data analysis and modeling. My work and studies have focused on turning complex environmental and geospatial data into reproducible analysis.
