I am not able to crack interviews. What ideal field can I jump to in case I want to change from ML and Data Science???

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Data Engineering or Devops .

I would say go with a plan for the switch in ML and DS take week and revise the algorithm every week new ML algo the confidence you gain from this is insane if NLP do same this is an ideal way

I think it's depends on what you are not liking or able to crack in Data Science.

If you like data acquisition and preparation but do not like ML then try Data Engineer or Data Modeller.
If you don't like data acquisition, preparation as well as ML but like the insights and business, go for Business Intelligence and Business Analyst.

So it's all depends on what skill and domain you like.

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