A portfolio works as a developer’s personal website by showing all or his or her work. As a simple website, it can tell potential employers so many things about a developer or candidate.

Be sure that when employers see a portfolio link in your resume, they click before reading the rest. Why?

The portfolio shows them:

• • • Workflow process.
    • Programming languages you have proficiency in.
    • How you acquired your technical expertise.
    • Companies you have worked with.
    • Quantifiable results you have achieved for your clients.
    • Leadership experience.
    • Communication skills.
    • Documentation habits.
    • Overall project management.

            A personal web page serves as the most common form of a web developer’s portfolio. If you have a lot of work on GitHub, GitHub Pages provides an easy way to turn your repositories into a website that can serve as your portfolio. An online portfolio page lets you customize it to reflect your unique talents and interests. Also, you can inject a shot of personality – but always remain professional.

Some tips:

• • • • Simply using your first and last name in the URL serves as a professional way to build your personal brand. Your domain name works as your personal name for your portfolio.
      • You don’t need to share every project you have ever completed: in fact, don’t. Select a sampling of three to five projects that best represent your skill level and the depth of your experience.
      • When providing links to source code, follow Folder Structure Conventions. This lets clients follow your project easily and will demonstrate your organizational skills, which potential employers’ value highly.

Open Sources Project: 

For those who do not have projects, we also have ideas. Please try open sources projects for coding at least five or six projects. Why?  

Open source enables programmers to:

• • • • Develop your skills by working on cooperative projects (in a very short time you can prove your skill in world-class programming) 
      • Built a portfolio of work to show to prospective clients and employers. (Employers love to see your open source projects so they can recognize your skills and make the decision to hire you.))  
      • Use common code maintained as open source to create a product or service that produces revenue.
      • Show that you can work with a team to build a quality product (employers want to see your team work skills in your open source projects)
      • Learn to build better and faster software in very short time. 

The Open source data science projects:

• • • The Julia project is a very good open source project to actively contribute to, including the advanced computing and XGBoost libraries.
    • Sklearn: Always developing at a rapid pace, the sklearn community is always open to new developers and contributors.
    • H2O: H2O is another fast-growing data science project, working on scalable machine learning and Deep Learning solutions.
    • Go: Open source data science road map and resources. Not really a technical project, but is very helpful for absolute beginners and aspiring analysts.
    • Pylearn2: Another fast-growing Machine Learning and Deep Learning project.
    • Vowpal Wabbit: The Vowpal Wabbit (VW) project is a fast out-of-core learning system sponsored by Microsoft Research and (previously) Yahoo! Research.

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Beginners guide to contributing to open source software