Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UMich
Data Scientist
June 26, 2026 – Present
project_custom_python_codes
March 3, 2022 – March 3, 2022
project_custom_python_codes — GitHub repository
View ProjectPython-for-Data-Science-and-Machine-Learning-Bootcamp
February 27, 2022 – April 2, 2022
Python-for-Data-Science-and-Machine-Learning-Bootcamp — GitHub repository
View ProjectTwin_Identification_from_EBSD
December 9, 2021 – March 26, 2022
Matlab codes to identify twin and twin variant from (in-situ) EBSD data
View ProjectLabVIEW_insitu_stage
November 8, 2021 – November 8, 2021
LabVIEW_insitu_stage — GitHub repository
View ProjectTescanAutoSEM
October 5, 2020 – September 15, 2021
Python codes to perform automated multi-tile imaging on Tescan Mira 3 SEM
View ProjectWWD
January 2, 2018 – January 4, 2018
Working directory for webpage related staff, html, css, javascript, etc
View ProjectExternal_Scan_Insitu_Test
September 17, 2017 – October 8, 2021
Code for collecting and correcting SEM images via external scan control.
View ProjectSEM_DIC_Data_Processing
September 14, 2017 – October 4, 2021
Some Matlab codes to process some of the data (images, DIC, EBSD) from (insitu) mechanical test. The initial commits are reconstructions representing the codes at a few times when they were shared. But there are also updates.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on scientific computing, image processing, and experimental data analysis, primarily in a research context. While these skills are relevant to data science, the lack of diverse project types (e.g., business intelligence, machine learning model deployment, large-scale data engineering) suggests a potentially narrow scope of experience for a general 'Data Scientist' role in a commercial setting. The current role at UMich aligns with a research-oriented environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief and do not offer insights into collaboration, problem-solving approaches, or communication style.