Related Posts
Hi Fishes, I am bit confused to pick the role in KPMG lighthouse as Sr Cloud Data architect or Saama technology as a Project lead. Money wise it is not a big difference. In KPMG I will work with partner where as in saama I will work with project/program manager. Please suggest your opinion. Saama KPMG KPMG India
More Posts
What is Hike percentage in CGI?@ CGI
Additional Posts in Data Science and Machine Learning
Hi, I recently came across Scaler's MS program, which offers masters degree in collaboration with Woolf University (European University). And, I am looking move to Canada in near future. Will the master degree offered through this course will be accepted by the education evaluation institute WES? If yes, is it considered as equivalent to Canadian Masters degree? Scaler Academy Immigration and Refugee Board of Canada Immigration and Refugee Board of Canada
New to Fishbowl?
unlock all discussions on Fishbowl.


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.