Problem of the day
Tip 1 : If applying for a data scientist role be prepared for questions on the accuracy, confusion matrix, precision-recall in different scenarios
Tip 2 : Research about the state of the art frameworks/models
Tip 1 : Write some projects with some mathematical/algorithmic insights too
Tip 2 : Keep it short and simple (search some online tools to build resume more attractive)
It was around 7 pm. It was on google meet. The interviewer was throwing lots of questions at me and I thought that he is trying to debate. I debated from my side also trying to tell why my approach will work. He was going into the subtleties of the problem. I was confident that due to my stubbornness I will be rejected. But in the end, he liked that I went on the path of logic and didn't deviate due to pressure(which can happen in scenarios like deadlines). Many questions were related to core statistics which I couldn't answer(the interviewer had a background in statistics). in the end of the interview, I told him that my knowledge of deep learning is good but I don't know the statistics to that extent to which he replied: "no worries, everyone doesn't know everything".
Just basic HR round and work experience and questions related to work culture