Creating Data Science portfolio
Earlier, people used to decide the right candidature for an internship or job by just viewing their CV. In the world of technology, people see the overall projects and profile to shortlist candidates of top engineering college in Jaipur, especially for Data Science subject. With the advent of time, most of the educational companies begin providing paid online projects. Thus, individuals started doing internships and projects. Apart from this, candidates can also show their skills to stand out for an opportunity or make a brand of yourself. While considering your data science portfolio, employers get the exact idea of your previous work, interests, and accomplishments.
There are some tips to follow to create a unique portfolio for your data science career:
1. Have an active Github profile
GitHub allow the user to host a remote version of your project where others can see it and even collaborate to create a better version. Always have an active GitHub profile and add the link on your CV. In other words, you should work on it regularly because your contributions on daily basis are recorded on it and can be seen by viewers. Moreover, ensure making a readme.md for your profile to customize your homepage.
2. Start Using Kaggle
Having a Kaggle account is very essential to practice them regularly instead of just displaying your skills. Most of the companies like KPMG, ZS Analytics, Bain & Co., JPM, etc. have a Data Science Competition like available on Kaggle.
Apart from this, the learning competitions available on Kaggle helps students of best engineering college in Jaipur understand more about the techniques and tips to apply when dealing with different kinds of data. Kaggle is also an excellent platform to showcase your skills. You can learn medals and titles (Kaggle 1X/2X/3X/4X Expert, Kaggle Grandmaster) which have a great impact if you put them on the headline of your LinkedIn profile. Moreover, you can add a link to Kaggle on your CV.
3. Participate in Competitions and Hackathons
Competitions and hackathons allow an individual develop their skills and know their position in their peer group. Success in competitions and hackathons can be considered as achievements that will add credibility to your work. For instance, the Analytics Vidhya platform can be used to participate in hackathons. Top platforms of any competition can also be viewed on it to learn unique and improved approaches.
4. Practice questions using Hacker Rank
Hacker Rank is a wonderful platform to expand your Python skills. It has questions that allow students of engineering colleges Jaipur to improve your programming skills. Along with this, it provides stars based on points you achieve for solving those questions correctly.
5. Read Blogs
Reading blogs lets you updated about latest developments in the field. Also, they might be helpful in discussions during the interview. Blogs can be used as a tool to learn new skills. Reading blogs on personal experiences lets you learn more about the industry and what you should do to find a suitable role in the future. You can follow Christopher Zita, Analytics Vidhya Blog/Medium Channel, Analytics India Magazine, Towards Data Science (On Medium), KDnuggets, etc. for this purpose.
6. Make your portfolio website
Make a very simple and easy portfolio website. An individual can either code in HTML or use Wix/Weebly for making one. Once, the user hosts their website, make sure you put it on your CV too. A website creates a great impact on a recruiter who sees your profile. It expands your skills and also provides an opportunity to them to see your projects and work in the field.
7. Have a LinkedIn profile
A Linkedin profile is extremely valuable for everyone. This allows people to connect with people from across the globe who might be working in the field students of BTech college in Jaipur are interested in. Also, LinkedIn helps in sharing their work with the community. Now, many recruiters use LinkedIn’s recommendation system to contact candidates for any openings in their firms.
8. Do small projects
Start with projects on well-known datasets such as Boston Pricing, XOR, Iris, MNIST, etc. After this, move ahead to making big projects like recommendation engine, full analysis of some data, etc. You can find datasets on Kaggle. HR analytics, Customer Segmentation, Image Analysis, Netflix Data Analysis, Uber Data Analysis are some basic instances to begin projects. Feel free to make your own dataset and later do an analysis.
9. Deploy code
Once the user made a project, then try to deploy it either on Heroku or AWS or any other cloud platform. This allow to build a full-fledged data science application that can be used. For instance, if you make a movie recommendation engine, then utilizes Heroku or AWS, build a website where people can actually come, select movies they like and your algorithm predicts which movies they can watch depends on their interests. This code must impress HR’s a lot and can surely help you to score an interview.
10. Focus on community building
The above methods will allow an individual of private engineering colleges in Jaipur to build an extremely great profile, but apart from it, knowing opportunities is also essential. For this, participate in the community and try to build great connections. LinkedIn, Slack, Discord, Telegram are some platforms where you can join groups of data scientists who regularly post messages for opportunities that you can use.
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