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University of Colorado Boulder
Data Scientist
June 29, 2026 – Present
Gus-Becker-CSM-Thesis
March 28, 2023 – March 28, 2023
Gus-Becker-CSM-Thesis — GitHub repository
View Projectmanual-feature-tracking
February 28, 2022 – January 18, 2023
Manually track features across a sequence of images using the Python package napari. Repo contains a Python Jupyter notebook that interfaces with a napari viewer window to allow a user to place points annotating a feature. 3D coordinates of points (slice, row, column) can be exported as a CSV file.
View ProjectImageXD-2021-solidification-tracking
May 15, 2021 – February 11, 2022
This project contains files associated with a talk presented by C. Gus Becker and Marianne Corvellec at the 2021 Berkeley Institute of Data Science ImageXD conference. Included is a demo of the solid-liquid (S-L) interface identification and tracking code developed to automatically identifying the S-L interface of solidifying metallic alloys. Radiographic data was captured via transmission electron microscopy (TXM) at the Advanced Photon Source (APS) at Argonne National Laboratory (ANL) in February 2019 by researchers of the Center for Advanced Non-Ferrous Structural Alloys (CANFSA) at Colorado School of Mines.
View ProjectCultural Fit Analysis
The candidate's personal projects show a diverse interest in web development (JavaScript, HTML, CSS) and creative coding, alongside core data science work. This breadth suggests adaptability and a curious mindset. The current role as a Data Scientist aligns well with the target role, indicating a clear career path. However, the projects are primarily personal and lack details on collaborative efforts or impact, making a full cultural fit assessment challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.