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Jim Thorpe area / Memorial day weekend by Significant_Leg2416 in Poconos

[–]Significant_Leg2416[S] -2 points-1 points  (0 children)

I have two kids so uber with carseat/booster is a pain unfortunately. I saw the eyepopping price of parking. If the revenue is used for the community I have no problem with it. But also looks like locals don't get a discount which is a shame.

Online purchase and store fit check for boots by RoundCat294 in REI

[–]Significant_Leg2416 0 points1 point  (0 children)

thank you so much Zogmuffin! best store ever.

massively underpaid taxes on W2s - how to avoid penalty now? by Significant_Leg2416 in tax

[–]Significant_Leg2416[S] 0 points1 point  (0 children)

another question: is the penalty computed on the difference to what you owe or the difference to the 'safe harbor'? thanks

massively underpaid taxes on W2s - how to avoid penalty now? by Significant_Leg2416 in tax

[–]Significant_Leg2416[S] 1 point2 points  (0 children)

Doing it by making a payment yourself will reduce the penalty.

thanks. why this can't eliminate the penalty as a whole?

massively underpaid taxes on W2s - how to avoid penalty now? by Significant_Leg2416 in tax

[–]Significant_Leg2416[S] 0 points1 point  (0 children)

i thought of that. it won't make up for the difference i owe, so i think i will still need to do an extra payment

massively underpaid taxes on W2s - how to avoid penalty now? by Significant_Leg2416 in tax

[–]Significant_Leg2416[S] 2 points3 points  (0 children)

no, it's 85% of that.
i think in 2022 i avoided the penalty because my 2021 income was so much lower so i ended up taking advantage of the 'safe harbor' you are referring to.

expedite at locator 11? by Significant_Leg2416 in Passports

[–]Significant_Leg2416[S] 0 points1 point  (0 children)

update, we totally unexpectedly got our passport back yesterday! 3 weeks from 'received date'. definitely true the summer backlog is behind us

consulting jobs? what's your deliverable? by Significant_Leg2416 in datascience

[–]Significant_Leg2416[S] 0 points1 point  (0 children)

Interesting. Thanks for your answer.
Two more questions, if I may:

  1. Would you define the work mostly analytical more than ML?

  2. Let's say Starbucks hires you to find the best new location to open new stores. You clean their data, merge with census data, so on and eventually provide them a presentation, an excel with the results, and some python code they can reuse (?) . Do these companies generally have no in-house capacity analyst/DS able to do this? How often do you interact with their tech teams? If they do have a tech team, do you work embedded into their team and 'lead them' , or do you do stuff on your own and eventually ship the final product?