Weilin Wang
@weilinwang
Environmental data scientist specializing in energy, emissions, and geospatial analytics.
What I'm looking for
I am an environmental data scientist with strong expertise in geospatial analysis, energy systems, and emissions accounting. I build reproducible Python and SQL data pipelines, develop dashboards for stakeholders, and translate technical results into policy-relevant recommendations.
At Duke and the University of Washington I focused on Environmental Analytics, Modeling, and Energy, applying skills to projects like datacenter electrification strategies and distributed energy resource rate design. I have delivered tools and dashboards that improved operational visibility and reduced data retrieval time for city and utility teams.
I emphasize rigorous validation and uncertainty analysis to support decision-making, and I combine modeling, optimization, and visualization to inform equitable energy and climate policy choices.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Institute for Transportation & Development Policy
May 2025 - Aug 2025 (3 months)
Built Python and SQL data pipelines to produce econometrics-ready datasets for evaluating climate impacts of sustainable transport projects and developed Power BI/Excel dashboards for 8 global offices, automating QA and improving leadership visibility on project performance.
Research Assistant
Energy Data Analytics Lab
Aug 2024 - Jun 2025 (10 months)
Built geospatial Python and SQL pipelines to generate 30m building-level emissions features for Climate TRACE, performed validation and uncertainty analysis, and translated results into policy-relevant summaries supporting emissions accounting.
GIS Analyst Intern
Seattle City Light
Jun 2023 - Jul 2024 (1 year 1 month)
Delivered GIS analyses and data pipelines to support distribution reliability, developing web maps/apps that reduced data retrieval time by ~30% and consolidated 10 years of grid maintenance data with standardized schemas and QA checks.
Research Assistant
Urban Infrastructure Lab
May 2022 - Feb 2023 (9 months)
Evaluated solar PV plus storage across 150+ buildings using ArcGIS Pro and Python to prepare scenario results for a 30-year solar plan and presented decision-oriented recommendations to facilities leadership.
Education
Degrees, certifications, and relevant coursework
Duke University
Master of Environmental Management, Environmental Analytics and Modeling; Energy and Environment
2024 -
Pursuing a Master of Environmental Management with concentrations in Environmental Analytics and Modeling, and Energy and Environment.
University of Washington
Bachelor of Science, Geography & Data Science
2020 - 2024
Completed a Bachelor of Science in Geography and Data Science through the Honors Program, focusing on geospatial analysis and data-driven environmental applications.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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