According to Jobvite, 83% of recruiters say they're more likely to hire a candidate who has tailored their resume to the specific job they're applying for.
But it takes (me) a long time to tailor the resume... which makes it very hard to do it consistently.
Do you tailor your resume? How long does it take you?
According to Jobvite, 83% of recruiters say they're more likely to hire a candidate who has tailored their resume to the specific job they're applying for.
But it takes (me) a long time to tailor the resume... which makes it very hard to do it consistently.
Do you tailor your resume? How long does it take you?
According to Jobvite, 83% of recruiters say they're more likely to hire a candidate who has tailored their resume to the specific job they're applying for.
But it takes (me) a long time to tailor the resume... which makes it very hard to do it consistently.
Do you tailor your resume? How long does it take you?
According to Jobvite, 83% of recruiters say they're more likely to hire a candidate who has tailored their resume to the specific job they're applying for.
But it takes (me) a long time to tailor the resume... which makes it very hard to do it consistently.
Do you tailor your resume? How long does it take you?
I launched a project today called Resume-Adapter and wanted to share it here for feedback.
According to Jobvite, 83% of recruiters say they're more likely to hire a candidate who has tailored their resume to the specific job they're applying for. (https://www.qureos.com/career-guide/resume-statistics-for-job-seekers)
However, (as you know) doing so can take 20-40 minutes per application, which makes it very hard to do consistently.
So I thought of creating an app that helps in this process. It works in 4 steps:
The changes are made so that:
I'd love feedback from other devs on a few things:
Here's the live demo: https://www.resume-adapter.com
I launched a project today called Resume-Adapter and wanted to share it here for feedback.
According to Jobvite, 83% of recruiters say they're more likely to hire a candidate who has tailored their resume to the specific job they're applying for. (https://www.qureos.com/career-guide/resume-statistics-for-job-seekers)
However, (as you know) doing so can take 20-40 minutes per application, which makes it very hard to do consistently.
So I thought of creating an app that helps in this process. It works in 4 steps:
The changes are made so that:
I'd love feedback from other devs on a few things:
Here's the live demo: www.resume-adapter.com
I've noticed in different companies (in the UK) that postcode datasets were often built (many) years ago and haven't been updated since.
These features are still predictive and used in our models but... surely not as predictive as if they were up-to-date, right?
For example, if you compare Census 2011 vs Census 2021 (post Covid!), Britain changed a lot:
The same for other features like house price, crime, and accident patterns.
What has your experience been in this regard? Are postcode features actively maintained, or are you using old data? (Or you don't have postcode data?)
I've noticed in different companies that postcode datasets were often built (many) years ago and haven't been updated since.
These features are still predictive and used in our models but... surely not as predictive as if they were up-to-date, right?
For example, if you compare Census 2011 vs Census 2021 (post Covid!), Britain changed a lot:
The same for other features like house price, crime, and accident patterns.
What has your experience been in this regard? Are postcode features actively maintained, or are you using old data? (Or you don't have postcode data?)
A reason why stressful jobs end up leading to burnout is because people:
(Apologies to the experts for the oversimplification)
I was thinking of creating an app that people can use post-work to help with this.
It would have:
Would you pay for this? Or is using chatGPT / Netflix / Calm or Headspace / something else (what?) enough for you?
A reason why stressful jobs end up leading to burnout is because people:
(Apologies to the experts for the oversimplification)
I was thinking of creating an app that people can use post-work to help with this:
It would have:
Would you pay for this? Or is using chatGPT / Netflix / Calm or Headspace / something else (what?) enough for you?
I used to work in a pretty toxic place, where everything I said could (and would) be used against me.
So I spent ages tweaking every email or communication:
ChatGPT didn't help because:
So I created my own app, that verifies the text for risk and enables inplace quick edits.
Main screen, showing a risky draft response but one click solutions.
I used to work in a pretty toxic place, where everything I said could (and would) be used against me.
So I spent ages tweaking every email or communication:
ChatGPT didn't help because:
So I created my own app, that verifies the text for risk and enables inplace quick edits.
Main screen, showing a risky draft response but one click solutions.
I used to work in a pretty toxic place, where everything I said could (and would) be used against me.
So I spent ages tweaking every email or communication:
ChatGPT didn't help because:
So I created my own app, that verifies the text for risk and enables inplace quick edits.
Main screen, showing a risky draft response but one click solutions.
One thing that has consistently surprised me across different companies is how strong postcode features tend to be in models.
At first glance, it's surprising that it's so predictive (it's "just geography facts"), but then it clicks: people tend to live in areas with somewhat likeminded people, and the (visible) area-level behaviours often correlate well with the individual behaviours that we're interested in.
The features that are captured for each postcode,
are proxies for behaviours that are hard to observe directly: renewal propensities, fraud, risk.
The other issue is that postcode data is rarely "done properly". It's often:
Of course, there are important considerations around fairness and bias here, since geographic features can correlate with socio-economic factors. In practice, how these features are used depends heavily on the application and regulatory context.
Curious how others are handling this -- do you tend to use postcode features, or is it something that gets deprioritised?
