Build a Data Science Portfolio that Stands Out Using These Platforms. Platforms for Building a Data Science Portfolio. GitHub is a very useful platform for displaying your data science projects. Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals.
Making your big break into the data science profession means standing out to potential employers in a crowd of tough competition. An important way to showcase your skills and experience is through the presentation of a portfolio. Following these recommendations for developing your portfolio will help you network effectively and stay on top of an ever-changing field.
Platforms for data science portfolio building. Image by Benjamin O. Tayo.
In the modern age of information technology, there is an enormous amount of free resources for data science self-study. As a matter of fact, you can even design your own data science curriculum from the innumerable amount of available resources. While knowledge acquired from course work is essential to lay a good foundation in data science, you need to remember that data science is a practical field. As such, hands-on skills are very important, especially if you are interested in working outside academia as a practicing data scientist.
This article will discuss 4 important platforms that will enable you to build a portfolio to showcase your experience in data science. A strong portfolio will give your employer an edge over the competition in attracting the best possible talent in the workforce. Keep in mind that employers interested in hiring you are going to ask you to provide evidence of completed data science projects. This famous quote from Elon Musk summarizes the mindset of employers in any technical discipline, including data science:
“Generally, look for things that are evidence of exceptional ability. I don’t even care if somebody graduated from college or high school or whatever… Did they build some really impressive device? Win some really tough competition? Come up with some really great idea? Solve some really tough problem?”
A strong portfolio highlighting a list of completed projects, recognitions, and awards will serve as evidence of your competence in data science.
Before delving into the topic of building a good data science portfolio, let’s first discuss 5 reasons why a data science portfolio is important.
Deploying my portfolio website on Github Pages using Github Actions. I recently deployed my portfolio site and wanted to try out github actions and this is my experience of automating the deployment.
In this article we are going to compare three most popular machine learning projects for you.
Learn how to Feature your GitHub repositories on LinkedIn. Go to the Featured section of your LinkedIn profile (right below the About section). Enter the URL to your repo in the Add a link pop-up window, then click Add. Put your work in the spotlight!
I am an ML developer and knows very little about web-development, I needed to showcase my skills to the world so I recently made a portfolio for myself in just 2 days. Have a look at it. Do you liked it? Well, you could also make a pretty interactive and beautiful looking portfolio for yourself in a very little amount of time. In this tutorial we would be focusing on learning how to get a starter-template from Gatsby to build a portfolio and hosting it on GitHub Pages so that you can share it with anyone and anywhere easily.
A portfolio is hands down the most effective way for developers to demonstrate their previous experience and achievements. Presenting your body of work in a well-curated manner can play a big role in helping you stand out from other job applicants, and get your potential new employer excited about the skillset you offer.