Data Science Internship

About the internship

This isn't your typical internship. At Terno AI, you won't just "learn data science", you'll work on industry-level projects. In just 2 months, you'll gain the kind of experience that normally takes 1.5 years in the industry.

You'll work on industry-level datasets, solve problems that matter, and see your projects published online with your name on them. Every accepted project appears on the Terno website under your own author profile and in your GitHub portfolio: a permanent showcase of your skills.

And don’t worry, you’ll get access to resources, sample projects, tutorials, and learning material (Data Science & Git courses from CloudxLab, Markdown guides, and Terno walkthroughs) to help you succeed.

Who Should Apply

This internship is for anyone who wants their work to be seen and remembered:

1. Future professionals aiming to stand out in placements or job applications.
2. Working professionals who want to showcase projects and stand out in this AI-driven era.
3. Curious learners and innovators who love solving problems and sharing their ideas.

If you’re passionate about AI, data, and storytelling through projects, this is for you.

What you'll Gain:

1. Industry-level exposure in just 2 months (the kind of work you’d do in 1.5 years at a company).
2. Hands-on practice applying AI and Data Science to real projects.
3. Confidence in engineering tools like Git, GitHub, and Markdown.
4. A portfolio that speaks for you: GitHub + Terno Blog and Author Page.
5. Visibility on Internet, LinkedIn, Github, and the wider AI community.
6. A professional certificate backed by published projects (not hidden work).
7. And most importantly, the confidence to say: “Yes, I’ve built and published industry-grade AI projects.”

What you'll do:

1. Pick a dataset from any domain (business, healthcare, education, social issues, etc.).
2. Use Terno AI to run predictive analysis, and uncover insights.
3. Shape your project around a real-world industry challenge or community research problem.
4. You’ll be given access to a public GitHub repository.
   • Fork the repo (or clone if you prefer).
   • Create a new folder named 'projectname_yourname'
   • Add your project explanation blog in Markdown inside that folder.
   • Include visuals and screenshots from Terno AI, can include flowcharts, and tables whatever you need to explain your project.
   • Finally, send us a Pull Request (PR).
5. Make changes to your Blog (if suggested) once approved, it goes live on Terno’s website under the blog page along with your author page.
6. To complete the cycle create a short video or PPT and share it on LinkedIn tagging us (we’ll amplify your post for visibility).

Internship Requirements

To get started, you should have:

1. Basic knowledge of Python, SQL, and Data Science concepts
2. Some familiarity with Git, GitHub, and Markdown (don’t worry, we’ll help you learn fast).
3. A genuine interest in AI, problem-solving, and clear communication.

You’ll also get resources from us:

1. Courses (Data Science & Git from CloudxLab).
2. Resources on Markdown, Prompt Engineering, SEO and Public Datasets.
3. Already-made projects to guide you.
4. Step-by-step tutorials on using Terno.

Certificate Requirements

To earn your Internship Certificate, you need to

1. Deliver at least 4 accepted projects within 2 months.
2. Each project must be reviewed, and published on the Website and LinkedIn.

Perks