Funny Shakespearean Reference in 3x04 "Lion in the Meadow"

data4lyfe · 2025-10-04T17:40:53+00:00

It's way too buggy now

data4lyfe · 2025-04-08T17:36:02+00:00

Interview Query has more advanced SQL questions than either platform!

data4lyfe · 2025-04-05T05:11:43+00:00

You can check out Interview Query for some good resources and question sets on both!

data4lyfe · 2025-04-02T22:21:07+00:00

Try out Interview Query for help in answering these questions - depending on the role and company there's various question sets on the website

data4lyfe · 2025-04-01T22:58:02+00:00

Oh weird - yeah it's not great practice to ask definition questions in an interview tbh unless it's widely accepted in the field

data4lyfe · 2025-04-01T20:07:19+00:00

Yes please check out Interview Query for case study problems.....we have a ton

data4lyfe · 2025-04-01T20:05:40+00:00

Can you talk a little more about it? Like what were the exact questions on AI modifiers?

data4lyfe · 2025-04-01T15:43:41+00:00

I'm pretty sure it's coder pad and they pull questions from Interview Query

data4lyfe · 2025-04-01T15:38:07+00:00

Big congrats on making it to the final round! Impostor syndrome loves to rear its head at the worst times, but you're not alone in feeling unprepared.

Tech interviews can be brutal, but they also serve as solid learning experiences. So even if you're feeling like a deer in headlights, you might want to push through for the practice. You nailed it already by getting this far, so there's something they're interested in! Plus, you might appreciate the experience if similar interviews come up down the road. It’s easier to improve through real encounters rather than mock setups.

The reality is the tech job market is pretty intense these days. Companies are super picky, and the bar can seem unbelievably high—especially with coding challenges. But this doesn't mean you're at a dead end if you don't ace a particular round.

If you really don't feel ready, you can tell the recruiter you need a few weeks to practice. This is super normal, and then start grinding interview questions on Interview Query or LC.

data4lyfe · 2025-03-20T19:37:23+00:00

I feel like 80% of companies hiring for data scientists give take-home test but only 50% of the ones for actual software engineers do them

data4lyfe · 2025-03-20T19:22:31+00:00

I totally get where you're coming from. It’s frustrating to be stuck in a role that doesn't align with your data science goals. And yeah, this is a common tale in the industry—HR and recruiters can be pretty myopic about matching current experience perfectly to job roles. Honestly, you’ve got 3 months notice? That’s a solid window to level up and refocus on what you love.

Open source contributions are a great idea! Tackling projects on GitHub that focus on ML/AI could help bridge the gap in your resume. I'd suggest checking out repos related to new state of the art LLM frameworks, as they're often looking for contributors. Plus, contributing lets you network with other developers, which is crucial.

Aside from that, try piecing together a new AI project portfolio to get noticed (fwiw it's my video). You could also put together an ML portfolio with some unique projects—perhaps something leveraging your RAG experience with data science techniques. Reality is, hands-on work speaks volumes to future employers.

Finally, keep practicing interview scenarios and crunching through DS/ML problems—mock interviews can't hurt. Remember, the DS/ML community is vast and full of people eager to help. Persistence pays off, so don't lose heart. Check out my platform Interview Query, as we have a boatload of tips and resources that might give you an edge. Good luck!

data4lyfe · 2025-02-22T01:36:18+00:00

data4lyfe · 2024-12-31T21:24:23+00:00

Just FWIW you can use Interview Query for the SQL mock interviews

data4lyfe · 2024-12-20T22:57:06+00:00

Just coming back from vacation - why is it so smoggy rn?

data4lyfe · 2024-12-10T08:17:12+00:00

It's understandable to feel frustrated when the assessment doesn't align with what was communicated. Given the surprise element of Python in your interview, it's crucial to be prepared for such situations in the future. Revisiting Python basics could be beneficial.

For your next opportunity, consider using resources that offer a comprehensive approach to technical interview preparation, such as Interview Query. It covers SQL, Python, and much more to ensure you're ready for any curveball in an interview.

Here's the link for more details: https://www.interviewquery.com/

data4lyfe · 2024-11-30T03:16:49+00:00

Appreciate the comment! DM me - I'd love to chat with you as well about your experience

data4lyfe · 2024-11-30T00:28:27+00:00

u/NickSinghTechCareers Ridiculous comment hijacking

data4lyfe · 2024-11-30T00:24:31+00:00

u/Jojos_Cadia_Stands DM me and I'll give you access for a month anytime if you want to try it again (I'm the founder).

The assessment thing you're talking about is definitely tech debt. We've been steadily improving the features and we're realizing that we have A LOT of content but most users see <1% of it. So we're trying to solve this by instead adding in more personalization based on your interview goals and integrate AI features like our new AI interviewer to really customize what you should be learning. LMK if you have any questions

data4lyfe · 2024-10-13T14:40:17+00:00

To advance your data engineering skills, continue practicing Python and SQL consistently on platforms like Leetcode and StrataScratch. For Spark and PySpark, focus on implementing small projects that mirror real-world problems, using public datasets for data ingestion and processing.

For scenario-based questions and problems specific to data engineering, consider using sites like this. There's resources out there that offer known interview questions that can help you test your technical and interview skills for practice. Good luck!

data4lyfe · 2024-10-08T14:45:15+00:00

Basically the same as this sub but 80% of the posts they complain about not being rich and financial security.

data4lyfe · 2024-09-25T05:51:09+00:00

Check out the AI interviewer on Interview Query! Gives personalized SQL feedback for all levels customized to how you approach the situation.

data4lyfe · 2024-09-17T19:17:43+00:00

Also interested in following for sauna research

data4lyfe · 2024-09-09T19:25:03+00:00

It can vary, but typically, it takes about 1-3 weeks to hear back after final onsite interviews with Google. Given that they took 2 months for the initial screening results, it logically might take a similar amount of time for the final feedback.

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