While a resume is an important component to showcase your abilities to the potential employers, if you belong to the data science community, you might want to showcase your abilities in coding and other software capabilities in a way that does justice to your skills. A crucial part of data science jobs is to be able to code, and GitHub serves as a perfect platform to access the coding skills and display hands-on ability to solve problems.
We created 5 tips to make your GitHub portfolio perfect.
1.Including good author info: This includes details such as candidate’s username, location, email address, current employer, etc. As this the first thing that potential employer notices, it is a good idea to have other relevant links such as personal blogs, websites, projects and other links that candidates can showcase.
2.Large followers: The number of followers that your portfolio has is a good indication of the work that you have done in the past. It showcases how fellow GitHub users engage with your work. Having large followers comes with the significant amount of work a candidate might have done on GitHub. More than 50 is usually a decent number.
3.Contribution graph: This indicates the number of contributions that a developer has made on other projects on the site. It showcases your keenness to explore other areas and shows activity levels in the coding community. The greener the graph is, the better is your contribution rate. Therefore it is always advisable to keep exploring.
4.Improving on stars: These are user ratings and may not be considered the only indicator for a good GitHub profile. Each project on GitHub user can earn stars from fellow users. It is a way of identifying how you have engaged in the community. 100 stars are usually considered decent but larger the better.
5.Writing employer-targeted code: Writing a code related directly to the employer’s business is a good way to catch their attention. It can showcase your coding abilities while demonstrating the interest you have in getting that job. The projects can be as simple as creating a visualization of its data sets.
Having mentioned the pointers above, the key idea is to create stronger projects for a strong GitHub profile. The recruiters pay attention in the areas such as the variety of projects that you have brought, completeness of the project, its functionality, readability and most importantly the information that it stores and displays.