Your name
AI and ML track. Project: the one you worked on.
Your dates
ID LSI-26-0000Check at lsintern.com/verify
Tech track
AI and ML
Work with real business data: clean it, build a model, and check honestly how well it works.
Placement depends on what each team has open, so pick this track as your first or second choice in the form.
Apply for this trackWhat you will work on
Three tasks from the kind of work interns do in this track. Yours depend on the team you join.
[REVIEW: real examples from group companies]
Clean a messy sales dataset
Find missing values, duplicates and odd entries, and write down every change so the team can trust the data.
Build a simple prediction model
Predict something the team cares about, such as which leads are likely to buy, and compare it with a simple baseline.
Explain the results to people who do not code
Make two or three charts and a short note on what the model gets right, where it fails and what to do next.
What your mentor checks
Your mentor is someone from the team. They review what you submit every week and ask questions like these. [REVIEW: how often]
- Is your data cleaning written down and repeatable?
- Did you compare against a simple baseline?
- Are you honest about where the model is wrong?
- Could a manager act on your summary?
Skills you will use
You do not need all of these on day one. Our free trainings cover the basics, and you learn the rest on the project.
- Python and pandas
- scikit-learn
- SQL basics
- Charts in matplotlib or a BI tool
- Train and test splits
- Explaining results in plain words
A certificate anyone can check
When you finish, your certificate names this track, your project and your dates. Recruiters can check it online with its ID.
Good to know
Questions about this track
Do I need to know deep learning?
No. Most real business problems start with clean data and simple models. You can go further once the basics are solid.
Will I work with real data?
Yes, with company data, under the same privacy rules the team follows. Data never leaves the work tools.
Which degree fits?
Computer science, IT, statistics or maths fit well. Commerce students with strong Excel and an interest in Python can also apply. [REVIEW]
Is there any fee?
No. There is no fee to apply, no fee to join and no fee for the certificate. If anyone asks you for money in our name, do not pay, and tell us.
What if this track has no open seats?
We talk about your second choice. If neither fits, you can join a free training and apply again for the next batch.
Other tracks
Compare this track with the others, or take the 1 minute quiz.
Apply for the AI and ML track
About 5 minutes. No fee at any step. Pick a second choice too, so we can place you faster.
Apply for this track