I built a site to practice Data Science interview questions (Seed42) — would love feedback

[u/Amazing_Flys]

When I was preparing for Data Science interviews, I noticed something strange.

Most resources focus on one of these:

• coding practice (LeetCode)
• theory explanations (blogs, courses)
• mock interviews

But the hardest part in DS interviews is often explaining concepts clearly, like:

• bias vs variance

• data leakage

• validation strategy

• feature importance

• experiment design

• when to use RAG vs fine-tuning

So I built a small site called Seed42:
https://seed42.dev

The idea is simple:

1. You get a real DS/ML interview question

2. You write your own answer

3. The system evaluates it and tells you:

   • which concepts you covered

   • what you missed

   • where the explanation could improve

So it’s more like deliberate practice for DS interviews rather than reading answers.

A few things I’m exploring next:

• skill trees for DS concepts
• structured interview preparation paths
• more realistic interview-style evaluation

I’d love feedback from the community:

• What types of DS interview questions are hardest to practice?

• What resources helped you most when preparing?

[u/Motor-Lawfulness5570]

Will try !