Build Data Science Portfolio

Hello friends! It is estimated to have 11,000,000+ job openings in Data Science industry by 2026 globally.

Building is portfolio to stand out is absolutely necessary. Here are few tips to build your Data science portfolio but can be applicable to any other tech profile.

Summary

1. GitHub Profile
2. Tableau Public Profile
3. Online Data Science competitions
4. Online courses
5. Data Science Projects
6. LinkedIn, Twitter, Pinterest profile
7. Professional Certification
8. Start a Blog
9. Build Resume

1. GitHub Profile

• Over 65 million developers and more than 3 million companies use GitHub . GitHub says that 72% of Fortune 50 companies use the site.
• There is always debate about GitHub over blog. I started with blog and later created GitHub profile
• 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.
• If you are beginner or a student GitHub is must to stand out in the crowd.

2. Tableau Public Profile

• If you’re learning Tableau having a public profile and uploading the data visualization will help you learn and track your progress
• You’ll get to learn by checking other Tableau public profiles. There are lot of learning series which you can be part of suck as Make Over Monday, Week Over Wednesday, Iron Viz etc.
• My friend started #30daysoftableau series in that she was creating 1 dashboard per day and started posting on LinkedIn. She was approached by lot of recruiters for jobs after seeing her posts.

3. Online Data Science competitions

• Participating in online data science competitions will give you confidence and help you to learn from other data scientists.
• Upload your R or Python notebooks and create a portfolio.
• Participating will give a boost to your profile and help to make a reach to the recruiters and other data scientists. You can win cash prizes as well.
• Kaggle, Analytics Vidhya are few platforms where you can participate in data science competitions.

4. Online courses

• Completing online courses and earning certification will give validation for you handwork, discipline and eagerness to learn for a professional or students.
• As taking out time from regular office work or university classes is not easy.
• DataCamp, Coursera, Udemy, EdX there are plenty of platforms available for learning.

5. End-to-end Data Science Projects

• Completing end-to-end project will give you learning as well as confidence
• Also helps in the interviews as you’ve done the project and you’ll be knowing the every little details so you’ll be comfortable explaining it
• There are multiple steps involved in the data science project life cycle:
  Defining business problem → Data collection → Data preparation → Exploratory data analysis → Data modelling → Model evaluation → Deployment

6. LinkedIn, Twitter profile

• LinkedIn is world’s largest professional network with over 810 million professionals from 150 countries. Creating a strong LinkedIn profile and regularly updating your learning will make you reach to the people in your domain
• Document your learning on regularly your posts will reach out to professionals, leaders and recruiters from similar industry and help you getting a job.
• For beginners I’ll suggest LinkedIn as there are millions of recruiters and millions of jobs available. Having a strong LinkedIn profile is very important.

7. Professional Certification for specific tools

• Earning professional certificates requires hard work, patience and strong command over the tool. It gives much more credibility and makes you stand out among the crowd.
• Few companies asks for professional certifications it will help there for sure
• I’ve completed 2 Tableau, 1 Alteryx and 1 Power BI
• You can earning professional certifications from the providers like Tableau, Alteryx, Power BI, AWS, Google Cloud, Azure

8. Start a Blog

• Okay now you have done everything from point 1 to 7. Start a blog even if you have not done some of the above points. I suggest everyone who wants to grow and bring something extra to the table to start a blog. It works out as your resume.
• You can start your blog under $110 annually for custom domains and there are 100’s of free options available to start a blog WordPress, Wix, Medium and others. Within 2 days you can take you blog live and without any knowledge of web development.
• I started Analytics Tuts 7 years back and now I get 15,000+ monthly active visitors and continuously growing.
• I’ve worked with CEOs, founders, leaders working across the globe and they reached out to me through my blog.

9. Build Resume

• Resume is the first impression of yours to the recruiter and resume will be used to filter candidate profiles for long-long time
• Well crafted, structured, cleaned resume is extremely important to have. It shows your skills, summary, impact in the projects you have created
• Being in the industry for 7+ years I hate to say this but resume is very important as the job market is still conservative and blog, GitHub, online presence is still secondary to your resume
• Check a very well crafted resume of FAANG ML engineer here

Keep visiting Analytics Tuts for more tutorials.

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