How to handle high number of dummy and normalized variables,it has more than 100+ variables in total?
It will be difficult for us to analyze so many variables. For the time being, you can do preprocessing if any and some basic EDA. You can build appropriate models on the data and make a note of evaluations metrics. You can then evaluate the performance of previously built models with the models built after mitigating the problem of high dimensionality.