i can't say shit like this on my twitter, see posts
#wwelcome to the life of a data scientists
dusky frigate
home-office smoking dusty snugs i dropped, about ~1h30 before clocking in
im supporting/working on a few projects ultimately, some are better some are worse, but it's not very consistent which'll be prioritised that day/week etc
but my manager has left me some daunting moronic tasks that much i usually rant about: transporting a .ipynb to a kedro project pipeline infrastructure, and that is one of the ok ones, even though the docs suck. the others are wiping the ass of a big evil pharma company, that means listening to assessments over and over, like a hellish punishment
strange jacinth
Lol so u smoke before work and just do tedious work all day?
dusky frigate
indeed, i am not even ashamed - about to make 5 months there and have gotten positive feedback along with reliability
strange jacinth
Lmao
dusky frigate
the team's squad is small, even if I ever come up short (i do some time stealing 
) they still need me*
but yeah anyways there's many endless pointless meetings, a lot of bureaucracy and miscommunication (mainly between Commercial, fuck Commercial), and some overwork too although my manager is also cool and does not allow overclocking etc
Commercial seems too stupid to understand the worktime of operations like ingestion, processing and analysing, concluding the storytelling -- actually takes weeks to months, still they dump with more and more projects
start-up mentality "we'll just hire more external analysts"
theres very much a feel (almost general among interns) that it is a "bullshit job", although we all also know it is a very capitalist appendix with real impacts and profits etc
even among managers in squad meetings (not weekly, team-board meetings) we use almost 1/3 of the time to chit-chat and gossip and unpack etc its kinda cool
dusky frigate
i feel very sorry for the other BU's grunt work, which is basically correcting and adjusting these or whatever. they're mostly 'data analysts'
my BU is Consulting, so we cater to the client's specific needs and data projects etc, the other team handles our data products saas and stuff, generally i feel lucky to be of this unit even though the squad is smaller as i said, our work is also a bit more convoluted after all --- still i had to do similar stuff which was fixing and proofing assessment's transcriptions which was a major pain in the ass for a whole week
ah yes our unit is also working on developing an automation process for the products ,, but since the only programmers and scientists on the unit are me and my manager it is coming slowly to say the least lol
merry robin
i want to learn dada science
dusky frigate
~ le data ciens journey face
i assume you know some python, then you just have to practice a few libraries like pandas et al, and frameworks a bit (how to talk with sql, managing projects etc) and voilá __also office tools pretty much
supple gulch
did you try reinstalling your packages and updating?
(thats my data cleaning knowledge i remember tbh)
dusky frigate
i don't have much about data cleaning knowledge except basics (manual dicts etc, gruntwork) but pip (python index packages) management can have many reinstalls yes
dusky frigate
i want to learn dada science
i still ought to learn the prettier data viz stuff, but a more accessible 'higher-end' package for starters might just be le good olde seaborn, i imagine you may want cool graphs and stuff their docs arent bad i dont know if you've seen their gallery and api examples maybe give it a chance https://seaborn.pydata.org/
oh i thought itd load a thumbnail but here what its capable of for ex
one day i really want to learn manim (3b1b's math animation package)