
Marie Skłodowska-Curie fellow in geophysics
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fleet Space Technologies
Data Scientist
June 25, 2026 – Present
TikhonovEnsembleKalmanSampling.jl
October 13, 2020 – September 8, 2023
Tikhonov ensemble kalman sampler in Julia - hopefully including hierarchical version
View ProjectHypoSVI
September 18, 2020 – December 8, 2021
Hypocentral earthquake location using Stein-variational gradient descent and deep neural network travel-time formulations
View ProjectEikoNet
March 4, 2020 – November 3, 2020
Machine learning formulation for the Factored Eikonal Equation
View ProjectEnsembleKalmanInversion.jl
July 12, 2018 – November 9, 2020
Ensemble Kalman Inversion in Julia
View Projectmc_kernel
March 19, 2014 – November 16, 2023
Calculate seismic sensitivity kernels using Axisem
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong inclination towards research-oriented and scientific computing tasks, which aligns well with roles requiring deep analytical skills and problem-solving. The diversity of projects, while technically impressive, leans heavily into academic/research domains (geophysics, numerical methods) which may require adaptation to a more product-focused or business-driven data science environment. The current role as 'Data Scientist' at Fleet Space Technologies suggests some industry alignment, but the lack of details on this role makes a full assessment difficult. The candidate's experience level is listed as 0, which contradicts the current employment, suggesting an inconsistency or lack of detailed experience data.
Soft Skills & Operational Fit
The provided data does not include information to assess soft skills or operational fit. Psychometric test scores are 0, indicating no data.