The existing clustering algorithm has a sequential execution of the data. The speed of the execution is very less and more time is taken for the execution of a single data. To overcome this Parallel Implementation of Genetic Algorithm using K-Means clustering (PIGAKM) is proposed but it has some more problems to retrieve the output without the error parameter. A new algorithm \"A Proficient Accomplishment of Datamania of Genetic Algorithm by applying K-Means clustering\" (PADGAKM) is proposed to overcome the problems in PIGAKM. PADGAKM is inspired by using KM clustering over GA.