Y PCA, what’s SMOTE and other techniques to fix data imbalance , feature selection techniques

Scaling , model evaluation, parameters tuning

What’s the mathematics behind logistic regression, how to evaluate multiple classification output, explain every evaluation metric of GLM and OLS method, like what’s Pseudo R-square, F statistic, AIC, BIC, Durbin Watson, Jarque bera and again 2 live python coding questions and even after producing the required output he asked to further simply. These questions were asked in 2nd round, I was stunned with the level of questions for a senior data analyst role, I can understand if these were asked for senior data scientist position, my bad luck, failed in 2nd round