Data Analyst / Biologist
Profile
Biologist focused on coastal environments, with expertise in geoprocessing, remote sensing, and environmental data analysis. Holds a Bachelor’s degree in Biology (CAV-UFPE), a Master’s degree in Animal Biology (PPGBA-UFPE), and is currently a PhD student in Biodiversity (PPGBIO-UFRPE). Experienced in handling large environmental datasets, including climate and spatial data, using Python-based workflows for data extraction, processing, and analysis.
Professional Experience
2021 – Present | Data Analysis (PhD)
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Analysis of large-scale environmental and climate datasets
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Automation of data processing workflows using Python
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Integration of geospatial and temporal data (GIS and remote sensing)
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Generation of maps, visualizations, and analytical outputs for research
2019 – 2021 | Data Analysis (Master’s Degree)
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Development and structuring of environmental databases
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Processing and organization of biological and spatial data
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Data cleaning, standardization, and integration from multiple sources
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Support for ecological analyses and scientific research
2018 – 2019 | Scientific Research Internship
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Processing and analysis of aerial imagery acquired from drones
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Geospatial data handling and map production using GIS tools
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Image interpretation and spatial analysis for environmental applications
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Use of QGIS, RStudio, and SPRING (INPE) for data processing and analysis
Skills
Core Competencies
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Environmental Data Analysis
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Geoprocessing and GIS
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Remote Sensing
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Spatial Data Analysis
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Climate Data Processing (NetCDF)
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Scientific Data Management
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Data Cleaning and Standardization
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Workflow Automation (Python)
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Ecological Data Analysis
Technical Skills
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Programming: Python (pandas, xarray, rasterio), R
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GIS & Remote Sensing: QGIS, SPRING (INPE)
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Data Formats: NetCDF, CSV, raster and vector data
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Data Visualization: Maps, graphs, and scientific figures
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Image Processing: Drone imagery analysis
Scientific & Analytical Skills
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Ecological and biodiversity analysis
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Environmental monitoring and spatial modeling
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Integration of multi-source datasets
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Interpretation of spatial and temporal patterns
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Scientific research and data-driven reporting