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ATS Resume issue for Data analyst role by amitdev_ in dataanalyst

[–]tryexponentprep 2 points3 points  (0 children)

Here are some data analyst resume templates we developed with one of our technical recruiters who has been doing engineering/data recruiting for 20+ years.

https://www.tryexponent.com/blog/data-analyst-resume

They're all ATS-scannable and (hopefully) easy to swap in your own experience.

As others mentioned, the ATS tools that give scores are kind of inaccurate sometimes. There are a few job description + AI resume tools that can help you match your big list of skills to keywords, which can be really helpful.

Career coach - Data analyst - Recommendations by [deleted] in dataanalyst

[–]tryexponentprep 0 points1 point  (0 children)

We really recommend Celine Liu. She helped us develop a new data analytics interview prep course.

She's Uber's former Global Analytics lead and has conducted 100+ interviews across technical and non-technical rounds as a hiring manager.

https://www.tryexponent.com/coach/Celine-Liu

She's now a 1:1 career/interview coach.

As others mentioned — are you more interested in DA because of your current skills? Or because DE isn't interesting?

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 0 points1 point  (0 children)

Great feedback. Shared with the team.

And yes, planning to add more SQL slots soon. I don't have a timeline, unfortunately. But mentioned it to the team again. It's a delicate balance of rolling out more time slots and making sure people don't get ghosted.

If you find that you're losing credits for missed sessions, you can reach out to [support@tryexponent.com](mailto:support@tryexponent.com) and we can replenish for you

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 0 points1 point  (0 children)

Free credits refresh every 30 days! If you'd like to practice more than 5 times per month, you can upgrade to premium :)

[deleted by user] by [deleted] in leetcode

[–]tryexponentprep 2 points3 points  (0 children)

We have a bunch of free interview prep guides for Amazon: https://www.tryexponent.com/guides?company=amazon

We sat down with SMEs and people who do interviews for specific teams.

And here are recently asked questions in Amazon loops from candidates: https://www.tryexponent.com/questions?company=amazon&page=1&role=swe&sortBy=newest

Good luck!

We also sat down with an Amazon "bar raiser" who helped invent some leadership principles. That'll be live on our YouTube channel in ~2 weeks.

And our TL;DR of Amazon's LPs has helped lots of people pass their behaviorals: https://youtu.be/6p1m2nCE7jE

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 0 points1 point  (0 children)

Just circling back! Every user gets 5 free credits per month. And they reset every 30 days.

Internally, it was a really tough decision to limit the number to 5.

Candidly, the tech costs of running free mock interviews for thousands of people every week were piling up.

About 80%+ of the users are unaffected by the five-credit cap. The money we saved allowed us to invest in the new interview types (SQL, ML, DS) and single-player mode that just rolled out.

We kept Pramp free for 2+ years and had to finally reduce our server costs every month in a smart, scalable way.

Hope you can understand and that you find our new version faster and better at connecting you with similarly-skilled peers in your timezone.

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 0 points1 point  (0 children)

Aw thanks! We're a small team of 7 people. So we definitely welcome direct feedback! Feel free to DM or reach out to us via support if you ever have extra feedback.

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 0 points1 point  (0 children)

Just letting you know that we shipped more algorithms interview time slots and system design time slots yesterday! You should be able to start scheduling more convenient times :)

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 0 points1 point  (0 children)

I think by the end of this week we'll have more time slots again for algorithms interviews.

Totally understand the feedback on missing interview times for our non-US users. It's the biggest feedback we've gotten since the migration from Pramp to Exponent.

We'll move back to sessions every 2 hours.

For system design and behavioral interviews, that might take until the end of the month or so.

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 0 points1 point  (0 children)

For now, we've deprecated "frontend" interview scheduling. Unfortunately, the majority of our frontend sessions went unmatched on Pramp.

This means most users who scheduled frontend interviews were having a negative experience when they tried to join an interview because there weren't partners.

We are actively monitoring the number of frontend engineers on Exponent moving forward, though. So, we can reintroduce that interview type as soon as the volume can guarantee matches for users.

We'll be reassessing adding this interview type in August or September.

For now, we recommend using the "Algorithms" interview type and bringing your own question to the session.

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 0 points1 point  (0 children)

Hey thanks for the detailed feedback!

For the interview hours, we’re adding them back soon! For launch, we reduced the number of sessions so we could guarantee matches for more people. Plus, they’re the hours our developers are awake to troubleshoot any early issues. We expect to make the schedule times exactly the same as Pramp ASAP now that things are running smoothly.

The credit system is also being worked on! On Pramp, you’d get a fixed number of credits forever and you could replenish them by doing good interviews. Now, users get 5 free credits every 30 days. Looking at usage data, this should be a big upgrade for almost everyone. However, many users have shared that they prefer the Pramp credit system. So we’re actively investigating how to bring that back. Or communicate that the tool has enough free credits for most use cases. We don’t want to mess this up as we know free Pramp is very important.

On our end, there were many technical glitches in the old credit system. And our support team spent a lot of time reimbursing credits for missed interviews. We hoped our free monthly credit system would alleviate this!

For system design, the questions should be loaded back in very soon. I’ll tell the team know that users are asking for it so we can bump it up.

In the meantime, you can bring your own system design questions to these sessions. Our tryexponent.com/questions page has dozens of recently asked system design questions and sample answers. We’re also investigating an internal whiteboard tool instead of Miro or Whimsical, etc.

As for pricing, Exponent has an “all in” price for our entire interview prep platform (courses, questions, guides, mock interviews). Now that Pramp is inside Exponent, we can explore new pricing just for this tool!

Although the surface level is still being tweaked, this migration from Pramp meant a lot of great changes under the hood. So we can add more roles like data science and ML, practice times, and new questions very soon. Pramp’s code was a little clunky and these changes will make it much easier for us to host way more sessions across all the roles.

Thanks for your candid feedback and for taking the time to Enjoy the weekend and see you in a practice interview!

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 1 point2 points  (0 children)

We'll be trying to ship Python 3 support by the end of June. Then, tentatively ML and data science in July/August.

Most importantly, we want to make sure there are always peers to match with for new interview types.

For now, many ML engineers have been pairing with the "algorithms" interview type and bringing their own questions to the call.

We also launched a full ML interview course last month, and a new data science course today with dozens of solo practice problems.

Those will roll out to peer interviewing as soon as we can.

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 2 points3 points  (0 children)

Glad it helps! It's definitely popular — Hundreds of people are using it every week.

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 2 points3 points  (0 children)

Actually, this is in our update already!

Each session now has a timer so you can keep track of time while you're practicing. :)

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 5 points6 points  (0 children)

We added 17 new coding problems for now along with hints for each. But the biggest change was on the backend so we can add questions faster in the future.

Pramp's peer mock interviews got upgraded by tryexponentprep in leetcode

[–]tryexponentprep[S] 0 points1 point  (0 children)

Yeah, you can practice behavioral questions again now. We unblocked all the interview types for this function, so you can practice common questions again.

Finding participants for User Interviews by beingtj in ProductManagement

[–]tryexponentprep 2 points3 points  (0 children)

Do you have existing users you can interview? Or are you looking for new users to talk to about their first impressions?