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Hi Folks,
Hope you are doing well, I need valuable suggestion on few of my queries.
I had joined KPMG(KGS) on April 2022, during the interview i have been told that i would be working on Java Backend Development as my background belongs to same technology and my interview was also happened on Java/Spring/Microservices; but they put me on Low-Code / No code Platform and its totally tool based work. I am frustrated with the current work as i didnt find anything productive to learn.Continued in com KPMG @
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What is a data lake in basic terms?
Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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This has happened to me in the past. It can be super frustrating.
Either companies not really knowing what to do with a data scientist or not having enough data maturity to be able to benefit from ML.
One thing you can do here is be a bit more proactive in finding ML use cases, and building your own work in a way. This obviously depends on whether your manager is up for supporting you moving in the direction, or if they are keen to keep you on reporting only.
The benefit of this approach is you can end up getting some ML credentials under your belt before you start looking for a new role
Sorry im still new to this, it wasn't the position I had applied to. It's a weird situation.
Find something to automate or predict as part of the reporting process. Find a need, fill a need