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Major in Atmospheric and Climate Science/
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Assessing your cultural and operational fit
University of Washington
Data Scientist
June 27, 2026 – Present
PMMPhaseLocking
April 7, 2025 – April 7, 2025
Code for Why is the Pacific meridional mode most pronounced in boreal spring? Climate Dynamics, 62(1), 459–471. https://doi.org/10.1007/s00382-023-06914-4.
View ProjectLMR_Seasonal
January 30, 2025 – October 12, 2025
The code for the first seasonal-resolution reanalysis of the last millennium, based on an "online" data assimilation method using a linear inverse model to assimilate paleoclimate proxies.
View ProjectDataAssimlationWithDL
June 8, 2024 – October 8, 2024
Reconstructing the Tropical Pacific Upper Ocean using Online Data Assimilation with a Deep Learning model
View ProjectPNAS-Kmeans-ENSO
July 9, 2022 – July 10, 2022
PNAS -- Historical change of El Niño properties sheds light on future changes of extreme El Niño
View ProjectDeep-learning-for-multi-year-ENSO-Reproduction
August 2, 2021 – August 5, 2024
Deep learning for multi-year ENSO forecasts Reproduction
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily concentrated on climate science and environmental data, which suggests a strong interest in this specific domain. While this indicates deep expertise, it also suggests a potentially narrow focus. The current role as 'Data Scientist' at the University of Washington aligns with the target role, but the lack of diverse project types or industry experience outside of climate science might limit cultural fit for broader data science roles requiring adaptability across different business domains. The experience level is listed as 0, which contradicts the current role, indicating a potential data discrepancy or a very recent start in the role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily academic/research-focused, and no psychometric or English test scores are available.