The majority of the construction projects in Telangana are exposed to time and cost overruns. This event may affect the progress of the construction industry as well as cause many organizations of construction to be destroyed. This study aims on the identification and evaluation of factors affecting the time and cost overruns, in the Construction of Irrigation Projects in Telangana. The objectives of the study were accomplished by conducting questionnaire surveys and case studies as well as through Multinomial Logistic Regression of time and cost overruns. About ten projects sites were visited and data was collected over a span of twenty-two months. The time and cost overruns factors in these works are divided into four major categories mainly manpower related, machinery related, material related and money related. These factors were analyzed using Statistical Package for Social Sciences (SPSS) software to carry out Multinomial Logistic Regression. It is used to predict the probability of a categorical dependent variable with more than two unordered categories. It's particularly useful when the outcome variable is nominal, meaning there's no inherent ranking or order between the categories. Unlike binary logistic regression, which predicts the probability of a binary outcome, multinomial logistic regression can handle multiple categories.