CURRICULUM VITAE
Gael Ndi Nkwain, Ph.D.
Geospatial Data Scientist · GeoAI · GIS · Geoscience · Earth Intelligence
Professional Profile
Geospatial data scientist and geoscientist integrating spatial, geological, environmental and subsurface datasets into validated databases, maps, models and analytical products. Experience spans federal geoscience research, critical-mineral intelligence, spatial data engineering, marine environmental analytics and hydrogeology.
Experience
Founder & Lead Geoscientist · Uplift Earth Solutions
Developing geospatial intelligence workflows for critical-mineral and Earth-intelligence applications. Virginia pilot integrates 5,691 geologic-unit records, 12,352 NURE geochemical samples and 95,618 elemental measurements using Python, SQL, GeoPandas and PostgreSQL/PostGIS.
NSF INTERN · U.S. Geological Survey
Atlantic Coastal Plain research integrating boreholes, cores, stratigraphy, biostratigraphy, wireline logs, legacy records and regional geology for cross-site correlation and subsurface interpretation.
Doctoral Research & Teaching · Texas A&M University
Built reproducible Arctic and Bering Sea environmental datasets and applied multivariate statistics, stable-isotope interpretation and spatial analysis. Mentored 30+ students in GIS, drilling-data digitization, data organization and quality control.
Education
Ph.D., Geology & Geophysics · Texas A&M University
Arctic and Bering Sea environmental reconstruction, quantitative assemblage analysis and stable isotopes.
M.Sc., Petroleum Geology · University of Perugia
Sedimentary basins, stratigraphy, petroleum systems and subsurface interpretation.
B.Sc., Geology & Environmental Science · University of Buea
Geology, environmental science and field-based Earth-system training.
Geoscience Research · Aarhus University
International research training in Denmark focused on Arctic marine systems and sediment-based environmental interpretation.
Technical Skills
GIS & Spatial: ArcGIS Pro · QGIS · GeoPandas · Rasterio · Folium · spatial joins · overlays · CRS/projections · vector/raster workflows
Data Engineering: Python · SQL · PostgreSQL/PostGIS · Pandas · ingestion · harmonization · provenance · QA/QC
GeoAI & Analytics: Random Forest · clustering · feature engineering · multivariate analysis · dimensionality reduction · R
Visualization: Power BI · Tableau · ggplot2 · Matplotlib · Git · GitHub · GitLab
Selected Projects
Uplift Geoscience Intelligence Engine: Spatial data engineering and GeoAI pipeline for critical-mineral intelligence in the Virginia Atlantic Coastal Plain.
Arctic & Bering Sea Spatial Analytics: Integrated geographic, biological, isotopic, environmental and temporal records using R, GIS and multivariate methods.
GroundwaterGeoAI: Applied geospatial framework for hydrogeological vulnerability and water-resource interpretation.
Additional
Languages: English · French · Pidgin English · Italian · Kom
Training: IBM Data Science Professional Certificate · Google Data Analytics · advanced hydrogeochemistry and water-quality training · climate and data/AI professional development