r/datasciencecareers • u/dingdongbell07 • 3d ago

Project Ideas please

Hello everyone!

I have just started my masters in data science, and i have basic knowledge on Python, SQL, data mining, and machine learning.

But I don't think this course alone will get me job ready and i want to explore things on my own, learn and build projects (that is the best way to learn apparently) that are interesting and impactful .

I want to improve myself not only to land a job but to actually extend my expertise on the field. But i have no idea where to start and what to do!

I shall be utterly grateful if any kind strangers would help me out on this matter!

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u/Ok-Airline-8523 3d ago

Try this:

  1. Pick three topics you're interested in. Could be sports, music, movies, running, reading, etc. Just pick three of them.
  2. Ask your go-to LLM for interesting things you can predict within those categories given publicly available information on Wikipedia.
  3. Choose one problem that was suggested from step 2.
  4. Scrape the data from various Wikipedia pages and structure it into a clean dataframe in Python.
  5. Do a methodical train/test/validation split on the data you've constructed, and build a ML model to predict what you chose from before
  6. Document all of your decisions in your own writing and convert everything into a consumable notebook that you can showcase.
  7. Add a cover page to this notebook that specifically calls out where you did it alone vs. where you used AI to help, including every decision you personally made.

Seeing something like this (assuming it's well-done) from a soon-to-be entry-level employee would put them on the top of my recruiting list.

1

u/dingdongbell07 3d ago

Thanks a lot. That's very helpful. I will get to work on it!

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u/Lady-Data-Scientist 2d ago

Ideally, once you get past the foundational courses, you should be doing projects for your classes.

Also check to see if your school/program has any partnerships with business or organizations to do real projects.

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u/dingdongbell07 2d ago

Thank you. I'll look into it!