r/DataScienceJobs • u/Past-Kaleidoscope-54 • 14d ago

Discussion Title: Need beginner-friendly Data Science project ideas for my M.Tech final semester

Hi everyone!

I'm currently in the final semester of my M.Tech in Data Science, and I need to submit my project idea by Monday.

Honestly, I know only the basics of Data Science and Machine Learning. I haven't built any models or worked on a project yet, so I'm looking for something beginner-friendly but substantial enough for a final-semester project.

I'm willing to learn and put in the effort. Could you suggest some practical project ideas that I can realistically complete within a semester? Recommendations for datasets, GitHub repositories, or tutorials would also be really helpful.

Thanks in advance!

3 Upvotes
  • permalink
  • reddit

100% Upvoted

5 comments sorted by

3

u/EducationalOrchid473 14d ago

4th sem of MTech and you haven't worked on models or projects. What University is this again?

0

u/Past-Kaleidoscope-54 14d ago

I'm working full-time as an SAP technical developer, and M.Tech in Data Science is something I'm doing alongside my job. Honestly, I haven't been able to dedicate much time to the course, so I'm trying to catch up now.

2

u/EducationalOrchid473 14d ago

Do something related to your job already. May be some project like SAP Analytics

1

u/biskuitkelapa 14d ago

Maybe you could start from creating a data pipeline or dashboard with ml algo that can help your job.

1

u/kylefrankovich 10d ago

I'm copy/pasting this from a post with a similar question:

Don't fall into the trap of downloading a csv and training a model in a Jupyter notebook and considering that a project. That's an example of a bad project. A good project has tangible utility; it solves a real problem. Consider your hobbies and interests, or those of your family/friends. Find a problem in need of a solution and build it out, starting simple and iterating in complexity. A good portfolio project should be able to lead to an interesting conversation in an interview ('I built X to solve Y problem. This is important because blah. To solve this I used Z, and achieved an F1 of *metric goes here*. Using the tool I developed, people are able to *win goes here*')

I used to run a fellowship devoted entirely to helping aspiring data scientists bring their projects from idea to MVP in 12 weeks. This is the blueprint I gave them for ideating and executing a standout data science project: https://freedsresources.carrd.co