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Case Study

Revolutionizing Credit Scoring with Big Data and Applied AI

No of Users

1000

Project Duration

6+ Months

About Client

The client is a prominent financial services provider specializing in credit risk management and lending solutions. With a strong commitment to innovation, they sought to redefine traditional credit scoring methodologies to provide greater transparency and actionable insights for borrowers. Known for their forward-thinking approach, the client serves a diverse customer base ranging from individual borrowers to large-scale enterprises, leveraging cutting-edge technologies to deliver reliable and efficient financial services.

Technology and Services

Big data processing using Pyspark,​ Azure Cloud​, Python

Industries

Finance

“HexaCorp’s expertise in Big Data and AI was instrumental in developing our innovative credit scoring product. The ability to explain credit scores and provide a ‘What-If’ simulator has transformed how we engage with borrowers, creating transparency and trust. This solution has set a new benchmark in the industry.”

– Operations Manager

95%

Data reduction

90%

Precision in forecasting credit scores

Project Synopsis

A leading financial services firm sought to create an innovative credit scoring product that not only evaluates current and future creditworthiness but also provides borrowers with transparency into their scores and actionable insights through an advanced “What-If” simulator. HexaCorp leveraged its expertise in Big Data and Applied AI to deliver a cutting-edge solution that redefines credit assessment.

The Challenge

  • Processing and analysing over 6 million data records, each containing more than 2,000 attributes, resulting in 12 billion data points.
  • Reducing data requirements without compromising model accuracy.
  • Creating a predictive AI model for credit scoring that is both reliable and transparent.
  • Building a “What-If” simulator to enable borrowers to explore various credit scenarios and understand factors influencing their scores.

The Solution

  • Processed and analysed over 12 billion data points.
  • Implemented smart feature engineering techniques, reducing data requirements by over 95% while maintaining accuracy.
  • Developed an advanced AI model capable of predicting current and future credit scores with high precision.
  • Integrated XAI capabilities to explain key factors positively or negatively influencing a borrower’s credit score.
  • Designed an intuitive simulator to help borrowers explore different credit scenarios, enabling them to make informed financial decisions.

The Result

    • Delivered a first-of-its-kind credit scoring product that not only predicts creditworthiness but also explains influencing factors.
    • Borrowers gained insights into their scores and actionable guidance through the simulator, improving trust and transparency.
    • Achieved a 95% reduction in data requirements, streamlining model training and deployment without sacrificing accuracy.

Get in touch with HexaCorp

Contact us by mentioning your specific requirements in the form. We extremely value your time and dedication, we will reach out to you at the earliest possible.









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