Scoring Format:
1. Roles & Responsibilities: 6/10
2. Years of Experience: 0/10
3. Education Qualification: 4/10
4. Skills/Knowledge: 8/10
5. Domain/Industry: 0/10
6. Key Competencies: 6/10
7. Certifications: 4/10

Descriptive Analysis:
Overall Summary:
- The candidate's resume aligns well with the roles and responsibilities mentioned in the job requirements, scoring 6/10.
- However, there is no information provided about the candidate's years of experience, resulting in a score of 0/10.
- The candidate holds a Bachelor's degree in Civil Engineering, which is not directly relevant to the IT/Computer Science field. Hence, the score for education qualification is 4/10.
- The candidate possesses several relevant skills and knowledge, including Python, SQL, Pandas, AI architectures, NLP, and machine learning algorithms, resulting in a score of 8/10.
- There is no mention of the candidate's knowledge of the US Mortgage origination & servicing domain, resulting in a score of 0/10 for domain/industry fit.
- The candidate demonstrates key competencies such as strong programming expertise, knowledge of AI technologies, and proficiency in Python and relevant frameworks, resulting in a score of 6/10.
- The resume mentions several certifications related to data science, Python, and AI, resulting in a score of 4/10 for certifications.

In summary, the candidate's resume aligns well with the skills and knowledge required for the job, scoring 8/10 in that category. However, there are gaps in the candidate's years of experience, education qualification, domain/industry knowledge, and certifications. The candidate's key competencies are average, scoring 6/10.