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Hey fishes
I have received two mails from Tiger Analytics one is a case study and
other sql assessment
In case study it is mentioned to
submit within 3 days but for sql
assessment nothing is mentioned
Anyone have idea for it's timelines
Also it would be really helpful if any
experience is shared regarding what
kind of questions are expected for
this assessment.
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You need to have an overall understanding of the whole ecosystem but the buckets tend to be : predictive analytics, NLP, forecasting, and signal detection. They all align to a business function. Predictive tends to be marketing, NLP is back office processing, forecasting is finance, and signal is operations. There are use case exception in each but the above holds true 80-90% of the time
Not to sound too braggy here but today’s data scientists are expected to have a good understanding of most if not all machine learning models out there. It’s inevitable that some algorithms get used more often than others and you might specialize in a domain over the years, but a fair understanding of all of them is a bare minimum for a data scientist.
I also admit the definition of a data scientist seem to vary across companies but personally I would be hesitant to hire someone who says “I’m good with these x, y, and z techniques but have no idea of say reinforcement learning.”
Thank you.
Very different experience from SA1. I expect a time series person to know what RL is, but I don't know anyone that'd grill you on the details of Q learning or ask you to explain PPO unless RL's your specialty. You should know classic stuff well across the board, which is called having good basics. Beyond that, whatever you worked on.
Specialties don't tend to tie to methods though. Businesses don't care about what methods you use, labs and academia sometimes do. It's more about the types of problems you work on. Segmentation, computer vision, forecasting, etc.