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Land-Atmosphere Interactions Researcher
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
uataq
Data Scientist
June 28, 2026 – Present
stilt-inversion-demo
June 24, 2026 – Present
Inverse modeling with STILT, in Python: a Colab workshop demo of arlmet, pystilt, and fips
View Projectuataq
November 21, 2025 – Present
Python package for reading Utah Atmospheric Trace-gas & Air Quality (UATAQ) data from the Utah Center for High Performance Computing (CHPC) filesystem
View ProjectPYSTILT
October 9, 2025 – Present
Python interfaces and workflows for the STILT atmospheric dispersion model.
View Projectarl-met
October 2, 2025 – Present
Read, write, subset, and sample NOAA ARL meteorological files.
View Projectdata-pipeline
March 19, 2016 – Present
Automated processing, calibration, and delivery pipeline for measurement data
View ProjectCultural Fit Analysis
The candidate's projects are highly specialized in atmospheric science and environmental data, indicating a strong interest in this niche. While this demonstrates passion, the lack of diverse project types or team-based work makes it difficult to assess broader cultural fit for a general Data Scientist role. The candidate's current role is listed as 'Data Scientist' at 'uataq', which aligns with their project focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience is primarily through personal projects, and no psychometric or English test results are available.