Advanced Credit Scoring Models Using Dremio And Google Cloud ML: Developing Machine Learning Algorithms That Incorporate Alternative Data Sources To Enhance Credit Scoring Accuracy

Author(s)	Saurabh Gupta
Country	India
Abstract	This study explores the advanced credit scoring models using Dremio and Google Cloud Machine Learning. With regular financial metrics and new data, these algorithms enhance credit ratings. Thematic analysis revealed trends related to credit inclusion, data bias, and model accuracy in secondary data. The findings show that merging data and machine learning technology might improve credit scoring systems' accuracy and accessibility by lowering their dependence on current methods. The findings increase credit risk calculations and facilitate conversations about financial equality. Future studies should tackle social issues and explore the potential applications of these models in other industries and financial systems.
Keywords	Utility payment histories, Social media, mobile phone usage, data bias and financial businesses.
Published In	Volume 4, Issue 3, May-June 2022
Published On	2022-06-20
Cite This	Advanced Credit Scoring Models Using Dremio And Google Cloud ML: Developing Machine Learning Algorithms That Incorporate Alternative Data Sources To Enhance Credit Scoring Accuracy - Saurabh Gupta - IJFMR Volume 4, Issue 3, May-June 2022. DOI 10.36948/ijfmr.2022.v04i03.13936
DOI	https://doi.org/10.36948/ijfmr.2022.v04i03.13936
Short DOI	https://doi.org/g8rgpn

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research