Research Scientist @ CENPA
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Washington
Data Scientist
June 25, 2026 – Present
gem
September 30, 2020 – June 25, 2024
Germanium Machine Learning is the collective machine learning project repository for Ge based neutrinoless double beta decay experiments.
View Projectuw_legend_rocks
April 14, 2020 – May 1, 2021
repo for LEGEND software deployment on CENPA rocks cluster at UW
View Projecth5py_collette
March 13, 2020 – March 13, 2020
ipython workbook for "Python and HDF5: Unlocking Scientific Data", Andrew Collette, 2015
View Projectdatacage
April 6, 2019 – May 24, 2019
slow controls and hardware interlock GUI for the CAGE detector, with PyQt5
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on scientific data analysis and tool development. This indicates a strong drive for independent research and problem-solving, which could be a good fit for a data scientist role requiring deep analytical work. The diversity of tools (Python, C++, Julia, Shell, Jupyter Notebook) suggests adaptability and a broad technical interest. However, the lack of team-based or industry-specific projects makes it difficult to fully assess cultural fit in a corporate or collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong technical focus, but collaboration, communication, and problem-solving approaches are not detailed.