Technical Skills
My work combines scientific depth with practical modeling. These skill areas reflect the tools and methods I use most often across climate, energy, and environmental analytics projects.
Modeling & Analytics
Statistical Modeling
88%6+ years
Regression, inference, exploratory analysis, environmental applications
Machine Learning
85%5+ years
Supervised learning, explainability, text analytics, climate applications
Agent-Based Modeling
72%2+ years
Scenario design, decision dynamics, energy transition systems
Life Cycle Assessment
70%2+ years
Integrated environmental impact assessment and trade-off analysis
Earth & Geospatial
Climate Impact Assessment
90%6+ years
Drought, environmental risk, impact pathways, adaptation questions
Remote Sensing & GIS
84%5+ years
Spatial analysis, raster workflows, environmental datasets
Hydrology & Climatology
82%6+ years
Earth system context for model development and interpretation
Scientific Computing
Python
90%7+ years
Modeling, data analysis, machine learning, reproducible workflows
R
78%5+ years
Statistical analysis, visualization, research workflows
Reproducible Research
82%5+ years
Structured analysis pipelines, notebooks, and publication-oriented work