Credit Scoring Evaluation
- #Finance
Revolutionized financial risk assessment using ML, accurate credit scores, default predictions, and NLP-based feedback categorization with AWS API deployment
- Natural Language Processing
Impact
This platform enables:
- Risk Reduction through Data Analysis: The platform leverages ML techniques to analyze extensive data sources, significantly lowering risk levels for a financial company.
- Credit Score Evaluation: Different personal information is utilized to evaluate credit scores with high accuracy, minimizing evaluation errors for clients.
- Default Prediction: ML algorithms predict customers at risk of loan default, enabling proactive changes to mitigate risks.
Services we provided
NLP solution to classify feedback on 3 categories
Develop API and AWS deployment
Tech Stack
Python
Scikit-Learn
Neural networks
Challenges and Solutions
🧐 Challenges
- Feedback Classification: Implementing an NLP solution to classify feedback into three distinct categories.
- API Development and AWS Deployment: Developing an API and deploying it on AWS for seamless and scalable access.
💡 Solutions
Achieved NLP-driven feedback categorization, enhancing analysis, and ensured efficient access by developing an API integrated with AWS for scalable deployment.