A method for identifying and projecting recurrent event patterns in an Information Technology (IT) infrastructure is disclosed. The method includes deriving at least one time period based on historical events data; grouping the historical events data comprising a plurality of events based on the at least one time period to create a plurality of data points sets; creating an event corpus comprising each of the plurality of events arranged based on frequency of occurrence across the plurality of data points sets; identifying one or more events that have highest frequency of occurrence within the event corpus; determining one or more data points sets from the plurality of data points sets in which the one or more events have occurred; and computing a projected frequency of occurrence of the one or more events in future time periods.