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Assessing your cultural and operational fit
pycycle
January 28, 2017 – January 15, 2022
Tool for pinpointing circular imports in Python. Find cyclic imports in any project
View Projectbasic-uploader
November 20, 2016 – November 20, 2016
Basic file uploader with aiohttp and python 3.6
View Projectpipreqs
April 22, 2015 – Present
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
View Projectgojenkins
September 27, 2014 – December 15, 2025
Jenkins API Client in Go. Looking for maintainers to move this project forward.
View Projectgotabulate
August 21, 2014 – February 9, 2021
Gotabulate - Easily pretty-print your tabular data with Go
View Projectnode-read
April 24, 2014 – August 10, 2018
Get Readable Content from any page. Based on Arc90's readability project using cheerio engine.
View ProjectCultural Fit Analysis
The candidate's diverse personal projects across multiple programming languages (Python, JavaScript, PHP, Go) indicate a broad technical interest and a self-starter mentality. The focus on utility tools (e.g., 'pipreqs', 'pycycle', 'gotabulate') suggests a problem-solving orientation. While the projects are not directly in Data Science, the Python experience and use of Jupyter Notebook provide a foundation. The willingness to contribute to and seek maintainers for open-source projects aligns with a collaborative and community-oriented culture. However, the lack of direct Data Science projects or experience makes the cultural fit for a dedicated Data Scientist role less direct.
Soft Skills & Operational Fit
The candidate's personal projects, particularly those seeking maintainers, suggest an ability to initiate and contribute to open-source communities. However, without psychometric test results or interview data, it is not possible to assess soft skills like logical reasoning, work attitude, stress handling, or team collaboration.