INTERN-A-THON - November 2021
About the Event
Register for JOB-A-THON - March 2022 here
Is getting an internship as a data scientist hard? If yes, you are wrong!
Being an intern at top organisations has never been easier...
Introducing India’s Largest Data Science Internship Event!
And this event is your one shot at scoring an internship at your dream company. Earn while you learn from the best at the biggest companies.
Analytics Vidhya presents “INTERN-A-THON” - India's Largest Data Science Internship Event. Through INTERN-A-THON every enthusiast will get the opportunity to showcase their skills and get a chance to interview with top companies for internship roles in Data Science, Machine Learning & Analytics.
Why should you participate?
“A wise man will make more opportunities than he finds”, but after INTERN-A-THON, you won’t need to make more opportunities!
Besides getting an opportunity to intern at top companies, you get to compete in an event organised by one of the largest Data Science communities. That’s gold stars on your CV forever!
Be it the top MNCs or fast growing startups, we have multiple internship openings across different industry verticals and across various cities in India (including Bangalore, Pune, Delhi-NCR, Mumbai, Chennai & Hyderabad).
Register now and make the best of this opportunity!
Who should participate?
This opportunity is open to all data science enthusiasts who are looking to gain experience through internship opportunities.
How INTERN-A-THON works?
Rules of Participation
- The contest starts on 19th Nov 2021, 00:00:00 (IST).The data set and the problem statement will be released at the same time
- Entries submitted after the contest is closed, will not be considered
- Only Individual participation is allowed in this hackathon
- Use of an external dataset is not allowed
- Participation is free-of-cost
- Throughout the hackathon, you are expected to respect fellow hackers and act with high integrity
- Analytics Vidhya holds the right to disqualify any participant at any stage of the competition if the participant(s) are deemed to be acting fraudulently
- In case of any dispute over rankings and leaderboard, the decision of Analytics Vidhya shall be final
- Interview shortlisting will be done by specific companies basis their own criteria (apart from leaderboard ranking)
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Registration Details
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Spaces You Can Join
Data Science
Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!
10.4K
Generative AI
Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!
10.4K
Data Engineering
Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!
10.4K
Frequently Asked Questions
Find the answers for the most frequently asked questions
There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.
Depending on the type of competition, you can participate individually or in a team.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.
Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.
In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.
Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.
AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.
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