Holistic construction performance measure has been an elusive and highly sought-after goal. The stochastic nature of construction processes and the number of stakeholders involved in these processes have added to the complexity of the problem. Large-scale infrastructure projects produce big data in form of actual site parameters, safety data, risk analysis data, cost data, financial data, quality assurance data and procurement data. This research aims at developing a project performance index. The factors influencing project performance have been grouped together as Critical Success Factors (CSFs) then through survey and expert opinions, relative weights have been collected for these factors. The factors and weights have been modeled through Regression Technique and validated through analytical and mathematical methods. The developed index will benefit the academic researchers and industry practitioners to assess the performance of the project and to increase the efficiency of project performance.