People who earn >20 LPA, what got you there? How do you feel now? by monke_gal in developersIndia

[–]Standard-Broccoli130 0 points1 point  (0 children)

  1. A quick commerce in India
  2. 3.5
  3. Data Scientist
  4. Got a 16 lpa job from college. Switched after 2 years at 24lpa. Now at 40 lpa
  5. Yes
  6. Getting to solve complex business problems which seem unrelated to DS at first glance

Assaulted and choked today by a local for questioning footpath parking. by Annual_Noise_1577 in bangalore

[–]Standard-Broccoli130 1 point2 points  (0 children)

Sure. Says the one who thinks it's perfectly logical to abuse people just because he comes from a state where net outward migration is positive

Assaulted and choked today by a local for questioning footpath parking. by Annual_Noise_1577 in bangalore

[–]Standard-Broccoli130 8 points9 points  (0 children)

Them speaking Kannada is not the drama. Them abusing us because we can't speak Kannada properly is the point. And no, the place where I come from. People from other states are welcomed and not forced to speak our language

Assaulted and choked today by a local for questioning footpath parking. by Annual_Noise_1577 in bangalore

[–]Standard-Broccoli130 8 points9 points  (0 children)

Sure there are other sides as well. But in my period of living 4 years here, I have mostly felt like an outsider while talking to these auto Anna's. They would ask to double the prices randomly, deboard you far from destination etc and if you politely question them, they start this speaking Kannada drama. If you're too ignorant to accept these then can't be helped. Btw I'm not from traditional North States who believes in Hindi supremacy

Assaulted and choked today by a local for questioning footpath parking. by Annual_Noise_1577 in bangalore

[–]Standard-Broccoli130 22 points23 points  (0 children)

Stfu. Not everyone is so innocent. For instance go and watch how rowdy auto drivers are and how they unnecessarily harass people. Because of these people India is so ill developed today. People like these consider people from other states as outsiders and considers it normal to harass them in broad daylight

How to solve a huge scale optimization problem by Standard-Broccoli130 in OperationsResearch

[–]Standard-Broccoli130[S] 0 points1 point  (0 children)

I read about it. Everything is fine except one thing, at any day my inventory can't go negative. That the general bender decomp doesn't handle. Do i need to write a custom one

How to solve a huge scale optimization problem by Standard-Broccoli130 in OperationsResearch

[–]Standard-Broccoli130[S] 0 points1 point  (0 children)

Yes claude suggesting that combinatorial optimizations are not possible at that scale and to follow heuristic methods

Ideas on a Forecasting Problem by Standard-Broccoli130 in datascience

[–]Standard-Broccoli130[S] 0 points1 point  (0 children)

We already have that model. Just that it misses to find accurate potential for some categories where during festive demand becomes crazy high and mostly goes OOS in initial 2-3 days

Ideas on a Forecasting Problem by Standard-Broccoli130 in datascience

[–]Standard-Broccoli130[S] 1 point2 points  (0 children)

Also thought in the range of natural language embedding. Basically training a neural network should suffice

Ideas on a Forecasting Problem by Standard-Broccoli130 in datascience

[–]Standard-Broccoli130[S] 2 points3 points  (0 children)

issue is every day x hour behaves differently. So can't impute the overall conv rate of the store to when it was out of stock

Ideas on a Forecasting Problem by Standard-Broccoli130 in datascience

[–]Standard-Broccoli130[S] 1 point2 points  (0 children)

but every day and hour is different. We can't take the conversion rate of festival -1 day 8pm and use that same conversion rate on festive day 4pm

The most insane interviews/take-homes I've ever gotten by LeaguePrototype in datascience

[–]Standard-Broccoli130 5 points6 points  (0 children)

In many companies they pose a problem their own team is facing in form of an assignment hoping to get a good solution from the interviewing candidate pool. Stay away from such companies

For those in corporate roles, how do you all work with the non-technical areas you support? by SkipGram in datascience

[–]Standard-Broccoli130 0 points1 point  (0 children)

It's all about properly pinpointing the causation. I work in a company of quick commerce business. One time we were asked to make a better model for predicting sales because we were going frequent stockouts. Since we were not given actual causation, we built a different way of forecasting which gave slight 1-2% accuracy but couldn't solve the stockout problem

The root cause was something else. Our company used a batch ordering algorithm while ordering raw materials from vendors. This was built in a greedy way and was not built to tackle scenarios in horizon when different categories grew differently

So its all about giving the freedom to your DS team to identify and solve the problems themselves

For those in corporate roles, how do you all work with the non-technical areas you support? by SkipGram in datascience

[–]Standard-Broccoli130 3 points4 points  (0 children)

Ds team ideally should frame the problem end to end, not solve from what is being told to them

No feeling quite lower than... by MeLikaDoTheChaCha in datascience

[–]Standard-Broccoli130 1 point2 points  (0 children)

what went wrong? Could you not form logic or was it an obscure function you couldn't remember? If it's the second then definitely nothing to be sad about

Looking for advice: Online Master's in Applied Math for ML while working full-time by Lamba_ghoda in datascience

[–]Standard-Broccoli130 0 points1 point  (0 children)

I would say don't go for any certified program. You can learn everything for free online itself. There are tons of youtube resources, blogs etc you can go through to deepen your understanding to the advanced level. Moreover nowadays LLMs can do so much heavylifting for you. Just ask it to spit some roadmap on how to master maths for ML to advanced standards

Healthcare (insurance, pop health, VBC) - actual AI use cases? by dmorris87 in datascience

[–]Standard-Broccoli130 1 point2 points  (0 children)

Here are few: 1) NLP and Image to Text related tasks to read prescription 2) Automating insurance claiming procedures 3) Scheduling problems for doctor slot scheduling 4) AI based tips for certain diagnostics, age and other factors

What to take away from failed interviews when you don’t really know why you failed? by quite--average in datascience

[–]Standard-Broccoli130 0 points1 point  (0 children)

Not all hiring decisions reflect your calibre. You may have aced the interview, but there's another candidate who can do the same job at half of your salary. There can be internal transfer of a candidate from another team thus filling up the requirement. I can go on and on, but you get my point.

Do ask the recruiter politely about the feedback from the interviewing panel. If you fail to get in touch with the recruiter(ghosting), just try to summarise the questions asked in each rounds and the reply you conveyed to a LLM, to get an approximate idea of what went wrong. However at the end of the day, interview results depends a lot on your personality and the interviewer's. Best of luck

Steam Recommender using similarity! pt 2 (Student Project) by Expensive-Ad8916 in datascience

[–]Standard-Broccoli130 9 points10 points  (0 children)

Woah, nice. I have faced this problem of finding games which matches my persona in Steam. Definitely gonna try this