The Epanechnikov-Kumaraswamy Distribution (EKD), a new two-parameter bounded distribution, is presented in this study. It is a combination of the Kumaraswamy distribution with the Epanechnikov kernel function. Important statistical characteristics of EKD, including as moments, the moment generating function, reliability functions, order statistics, and Rényi entropy, are derived and examined by the authors. They use large-scale simulations with different sample sizes to show the consistency and objectivity of parameter estimators using maximum likelihood estimation. When compared to alternatives, EKD exhibits consistently negative Rényi entropy values, indicating a superior concentration of probability mass.