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python-data-visualization
March 10, 2021 – December 3, 2023
Python Data Visualization course code and examples
View Projectsidetable
May 25, 2020 – October 29, 2022
sidetable builds simple but useful summary tables of your data
View Projectexcel-to-python-course
March 17, 2020 – June 1, 2023
Student materials and handouts for Excel to Python course
View Projectinteractive-dashboard-post
December 11, 2019 – March 9, 2021
📝 A blog post about turning jupyter notebooks into interactive web apps
View Projectautomation-post
July 16, 2019 – July 26, 2019
📝 A blog post about report generation and automation in python
View Projectpbp_cookiecutter
November 18, 2018 – July 11, 2020
Cookiecutter template for data analysis
View Projectpbpython
May 12, 2015 – March 7, 2023
Code, Notebooks and Examples from Practical Business Python
View Projectbarnum-proj
March 22, 2015 – May 27, 2020
Python application for generating pseudo-random data
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on Python, Jupyter Notebooks, and data analysis. While this aligns with the technical aspects of a Data Scientist role, the lack of team projects, diverse technologies beyond Python/R/HTML/CSS, or professional experience makes it difficult to assess broader cultural fit or collaboration experience. The candidate appears to be a self-starter with a strong interest in data tooling.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a focus on personal technical development.