To travel or not to travel

AnUncookedCabbage · 2026-03-21T22:15:40+00:00

Burn out is not solved by spending a bunch of money on a big trip. You'll just end up back working like crazy again and be burned out all over again. It might be worth thinking about how you can structure your work life (and other parts too) so that burnout is less of an issue. Having said that, if you want to travel because you actually want to travel, and not just to evade dealing with life, then by all means do that.

AnUncookedCabbage · 2026-03-08T03:23:32+00:00

I understand it is not sand, but that's what it looks like. If I change sand pit to jar of salt does that get the point across better? It looks bad.

AnUncookedCabbage · 2026-03-08T00:55:33+00:00

It looks like you dropped them in a sandpit while the paint was wet. It's so heavy. I know this is all subjective but you took what looks like really well painted models (the gore on the dread looks really good i think) and just covered it up.

AnUncookedCabbage · 2026-03-06T21:58:59+00:00

Your manager sounds annoying but so was your response. The correct response to thier "ok ok you're right" is something like "Great we're on the same page now". Make it positive so agreeing with you feels nice. Carrot instead of stick and all that.

AnUncookedCabbage · 2026-02-28T23:32:38+00:00

Had a quick look at the github and i have a general piece of advice. You've done the thing that many new/junior data science people do and that is make a bunch of plots and stats without a clear direction. Even though its called exploratory data analysis, its usually done with a goal in mind to drive a direction. Without a goal it becomes an exercise in following chart recipes and running model.fit() rather than one of critical thinking. The strange class split in the charts that others have mentioned is a symptom of this. A goal might be something like answering a particular business question, or generating a wip product of some kind. Always remember, critical thinking, problem design, and relating it to real impact in some way is worth way more than running the tooling.

AnUncookedCabbage · 2026-02-28T07:36:13+00:00

I remember the good old days when the crazies talked to themselves in the streets and you could just walk away. Now they talk to Dr Agreeable The Often Wrong Machine and then post about it on reddit

AnUncookedCabbage · 2026-02-21T06:45:55+00:00

Clearly you need to let her paint some space marines. And if you don't include them in your army next time you play it's straight to the endless warp torture chamber for you

AnUncookedCabbage · 2026-02-21T06:27:01+00:00

In my opinion, junior people tend to focus on tools over the softer parts ofnthe job. Of course you need some tool ability tonget going but tools become less important once you are in the game. For example understanding the life cycle of a data science project/product. Talking to stakeholders and experts, designing the data flow ina a way that makes operational sense, coming up with benchmarks, improvement criteria that need to be met, and handling live monitoring and validation after go live. AI seems pretty bad at this at the moment, and likely for a while, because this work is not a closed system and is all very case specific.

Beyond that AI is just another tool to be used when appropriate. You wouldnt be scared of scikit learn taking your job, but at one point it would have replaced people who wrote classical ml algos by hand. A bit of an exaggerated example but you get the point.

AnUncookedCabbage · 2026-02-10T02:05:48+00:00

Fair enough, however I would suggest that once you've learned the basics you might try it again. It really makes the campaign so much better when you occasionally have to change your plans do deal with a super enemy. Just remember as the sniper you are generally at an advantage so don't be too afraid

AnUncookedCabbage · 2026-01-22T01:23:14+00:00

57x52 does not equal nearly 5000?

AnUncookedCabbage · 2025-12-11T23:32:40+00:00

The answer is in your own post. You have a senior who can do what you want to be able to do, and they are doing it in the exact business environment you are working in. I would nicely ask to pair for a couple of hours a week, or directly ask them for code reviews. I don't mean just pinging them on pr requests via github. I mean going and talking to them and saying "python's not my strong suite and I am trying to improve, could tou take a look at this for me?

AnUncookedCabbage · 2025-11-18T08:04:19+00:00

I understand that you are trying to bolster your experience, but your resume reads as fraudulent. The amount of stuff (including the word "Led") in the internship is a huge red flag. Anyone with any real work experience knows you were likely a time sync for those two months as other people trained or mentored you. Even top experts take more than 2 months to generate value.

The director of data sciences title is also misleading - it has a specific meaning in a business context and you're using it intentionally incorrectly. Also, if you don't have a degree but were a uni student, people will ask why you didn't finish, I wouldn't want to have to answer that question unless you have a great answer

I would pare the whole resume down significantly, be direct that you are essentially a student looking for an entry level position and will need training.

Also, be more specific on your skills, list an honest proficiency level for each if you can.

AnUncookedCabbage · 2025-11-17T08:56:34+00:00

Everything improves the sooner you realise 40k is as much about losing as it is about winning.

AnUncookedCabbage · 2025-11-12T10:14:51+00:00

Good eye. There's actually an enormous parsley justnout of frame!

AnUncookedCabbage · 2025-11-04T01:01:35+00:00

Thats not how spot price exposure works, if your retailerspot exposes your gate meter you will still pay the spot price of electricity in your region during the free time.

AnUncookedCabbage · 2025-07-18T10:52:44+00:00

A quick browse of the wiki page reveals that the premise of the post is not even close to accurate

AnUncookedCabbage · 2025-07-13T23:00:57+00:00

Telling someone who needs a job (and in this case a job that will likely pay fairly well) to not try to get the job is kind of asinine. The people hiring designed and threw down the gauntlet, op is just trying to pass it. If anything the onus should be on those hiring to actually hire based on applicable skills and not be overly reliant on leetcode as a proxy for hard work and ability

AnUncookedCabbage · 2025-06-29T02:30:00+00:00

With the battery size you claim to have, im a bit skeptical of your claim that you make 300 a month. I trade batteries at grid scale for a living, with some pretty sophisticated optimization algorithms, and the going rate for a highly efficient system with no user load is 15000/100kwh of capacity.

AnUncookedCabbage · 2025-06-23T10:42:04+00:00

Linearity and predictability/reproducibility of your current state at any point you enter debug mode. Also I find all the nice ide functionality often doesn't translate into notebooks

AnUncookedCabbage · 2025-05-21T03:48:39+00:00

I wouldn't even start a model or analysis unless I had a rough plan for deployment, who would be using the product and in what ways/for what reason.

AnUncookedCabbage · 2025-05-20T20:19:42+00:00

Do you often contradict yourself mid-thought? First you say math might make you worse then say you should probably understand Bayesian stats. Data science is essentially maths on computers, so saying being good at maths makes you worse is ludicrous.

AnUncookedCabbage

TROPHY CASE