Environmental Data Scientist and GIS Specialist

EC

PERSONAL INFORMATION

Emma Cardoso

Date of birth: 22.09.2000

Nationality: United States of America

Email: ***********.***@*****.***

Phone: +1-317-***-****

Linkedin: www.linkedin.com/in/emma-cardoso

Github:

www.github.com/emmacardoso

SKILLS

TECHNICAL SKILLS:

GIS and Mapping:

ArcGIS Pro, ArcGIS Online, QGIS, Geospatial Data Management (CSV, shapefile, GeoJSON, raster data, etc.),

Map Design, Cartography, Interactive Map Creation

Remote Sensing and Spatial Analysis:

RStudio, LiDAR, Satellite Imagery Analysis, Atmospheric Correction, GNSS Data Processing, Spatial Statistics, Regression Analysis, Data Visualization, Raster and Vector Processing, Map Algebra, Geostatistics, Statistical Analyses

Field and Environmental Methods:

Field Surveying and Data Collection, YSI Water Quality Sensors, GNSS Receivers, Environmental Monitoring and Assessment

PROFESSIONAL SKILLS:

Project Management and Organization, Collaboration, Verbal and Written Communication, Problem Solving, Adaptability, Interdisciplinary Approach, Time Management, Optimism

LANGUAGES:

English (fluent)

French (fluent)

Italian (intermediate)

INTERSETS

Solo Traveling (gap year from September 2024-October 2025), Hiking, Backpacking, Snowboarding, Silversmithing and Jewellery Making, Reading

EMMA CARDOSO

EDUCATION

BACHELOR OF SCIENCE, ENVIRONMENTAL STUDIES SEP 2019 – DEC 2023 UNIVERSTIY OF CALIFORNIA, SANTA BARBARA

Emphasis in Ecology and Evolution and Geospatial Analysis – Major GPA : 3.98

Higher Honors College of Letters and Sciences Honors College Dean’s List Phi Beta Kappa Environmental Studies Outstanding Academic Achievement Award

PROJECTS

FEBRUARY 2021 POWER OUTAGE ANALYSIS IN HOUSTON, TEXAS NOVEMBER 2023 UNIVERSITY OF CALIFORNIA, SANTA BARBARA

https://github.com/emmacardoso/2021TexasBlackoutAnalysis

-Analyzed changes in night-light intensity using NASA VIIRS remotely-sensed data in RStudio.

-Applied buffer operations on OpenStreetMap data to exclude highway-adjacent areas.

-Performed spatial joins and SQL queries to identify residential zones impacted by power outages.

-Integrated U.S. Census Bureau data to identify income-related recovery patterns.

-Produced census tract-level maps of median income and blackout extent to reveal disparities in community vulnerability.

SANTA BARBARA LAND COVER CLASSIFICATION ANALYSIS DECEMBER 2023 UNIVERISTY OF CALIFORNIA, SANTA BARBARA

https://github.com/emmacardoso/SBLandCover

-Applied supervised remote sensing techniques to classify land cover in Southern Santa Barbara County.

-Processed Landsat 5 imagery, including cropping, masking, and conversion to surface reflectance.

-Extracted spectral signatures from training data to develop a decision tree classifier.

-Classified novel imagery using trained model.

-Produced a county-scale land cover map, mapping vegetation, urban areas, bodies of water, and dry soil/grass.

POTENTIAL MARINE AQUACULTURE SUITABILITY IN UNITED STATES WEST COAST ECONOMIC EXCLUSIVE ZONES (EEZS) DECEMBER 2023 UNIVERSITY OF CALIFORNIA, SANTA BARBARA

https://github.com/emmacardoso/MarineAquaSuitability

-Identified suitable oyster aquaculture sites across West Coast EEZs using sea surface temperature and bathymetry data.

-Calculated mean sea surface temperature and resampled bathymetry layers for spatial alignment.

-Applied raster reclassification, overlay, and masking with EEZ boundaries.

-Calculated total and percentage of suitable area per EEZ and produced comparative maps.

-Developed an R function in RStudio to automate species suitability analysis for various species, using species, temperature, and depth inputs.

PRESCRIBED GRAZING FOR GRASSLAND RESILIENCE MARCH 2023 – JUNE 2023 UNIVERSITY OF CALIFRONIA, SANTA BARBARA

-Evaluated prescribed grazing as a land-management strategy by integrating multi-year vegetation survey data with geospatial plant-cover patterns, identifying statistically significant increases in native vegetation and declines in non-native species.

-Created an ArcGIS Pro geodatabase of grazing areas, site boundaries, and plots; performed spatial interpolation to generate vegetation-cover rasters and change-detection maps.

-Produced environmental covariate layers (slope, soil, habitat, geology) and conducted t-tests and OLS regressions to identify drivers of vegetation change.

-Developed interactive ArcGIS Online/StoryMap visualizations with time-slider functionality and authored a scientific StoryMap synthesizing spatial and statistical analyses to evaluated grazing as a restoration tool.

EXPERIENCE

INDEPENDENT RESEARCH PROJECT AND STUDENT LEADER JUNE 2023 – SEPTEMBER 2024 CHEADLE CENTER FOR BIODIVERSITY AND ECOLOGICAL RESTORATION

-Designed and conducted an independent research project on submerged aquatic vegetation across multiple wetland sites.

-Collected georeferenced field data using YSI water quality instruments and a Geode GNSS Receiver.

-Processed and integrated field, vector, and satellite datasets in ArcGIS Pro.

-Analyzed Planet Labs satellite imagery in RStudio to calculate Normalized Difference Aquatic Vegetation Index (NDAVI).

-Applied statistical analyses and models to identify environmental predictors of NDAVI and site-specific interactions.

-Supervised and trained interns in field data collection, data management, and scientific protocols.

INDEPENDENT RESEARCH PROJECT OCTOBER 2022 – DECEMBER 2022 THE MONTEVERDE INSTITUTE

-Designed and conducted an independent research project on bioluminescent marine dinoflagellates in Cuajiniquil, Costa Rica.

-Collected field samples and performed controlled laboratory experiments, manipulating oxygen, pH, salinity, temperature, and nutrient availability.

-Applied statistical analyses to identify which environmental factors influenced changes in bioluminescent responses.

-Authored a scientific paper, developed a presentation, and presented findings at a research symposium.

UNDERGRADUATE RESEARCH ASSISTANT MARCH 2022 – JUNE 2022 UNIVERSITY OF CALIFORNIA, SANTA BARBARA ECOLOGY AND EVOLUTION LABORATORY

-Conducted field surveys across multiple UC Reserve sites, performing flower counts, seed collection, and transect observations for Nemophila menziesii.

-Organized and catalogued collected seeds, ensuring accurate labeling and proper storage for analysis.

-Managed and organized field data and photographic records into spreadsheets for statistical analysis.

STEM CELL BIOLOGY AND REGENERATIVE MEDICINE INTERNSHIP JULY 2021 – AUGUST 2021 CITY OF HOPE

-Conducted research on neuronal stem cells and regenerative therapies for central nervous system disorders and brain tumors. Collected and analyzed experimental data to assess treatment efficiency.

-Cultured and maintained patient-derived tumor cells in-vitro.

-Performed cytotoxicity assays to evaluate the synergistic effects of ICG-001 (ß-catenin pathway inhibitor) and CAR T cells of GFP-expressing brain tumor cells.

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