Credit Score Analysis for Loan using Raw Data Through Third Party Application 
Shivam Gaur1, Rajani Katiyar2, Umashankar S.3
1Shivam Gaur*, Electronics and Communication Engineering Department, R.V. College of Engineering, Bengaluru, India.
2Rajani Katiyar, Electronics and Communication Engineering Department, R.V. College of Engineering, Bengaluru, India.
3Umashankar S, Software Developer Engineer, Lendingkart Technologies Pvt. Ltd, Bengaluru, India.
Manuscript received on April 11, 2020. | Revised Manuscript received on May 11, 2020. | Manuscript published on June 30, 2020. | PP: 200-202 | Volume-9 Issue-5, June 2020. | Retrieval Number: E9323069520/2020©BEIESP | DOI: 10.35940/ijeat.E9323.069520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Credit Score Analysis for Loan using raw data through third party Application has the potential to meet the needs for high speed Credit Information Bureau India Limited (CIBIL) score calculation. The aim is to increase fairness and reduce human intervention in this calculation process by passing all the data through software process and following the unbiased flow. The need to increase fairness among the disbursement of Loans has pushed this process to its limits. In this paper the required process flow to obtain CIBIL score is discussed.
Keywords: CIBIL, No Structured Query Language (NoSQL), Structured Query Language (SQL), Spring Framework, IntelliJ, Java Script Object Notation (JSON), Application Program Interface (API).