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

Descriptive Analysis:
Overall Summary:
- The candidate's resume aligns moderately well with the job requirements.
- The candidate has a Master's degree in Computer Science with a focus on Data Science and Analytics, which is relevant to the job.
- However, the resume does not provide any information about the candidate's years of experience, which is a significant gap.
- The candidate has listed Python as one of their skills, which is relevant to the job. However, there is no mention of other required skills such as AI architectures, IDP, RAG, GenAI technologies, Neural Networks, Machine Learning algorithms, NLP, transformers, Python frameworks, AWS tools and technologies, etc.
- The resume does not mention any specific knowledge or experience in the US Mortgage origination & servicing domain, which is a requirement for the job.
- The candidate's key competencies are not clearly demonstrated in the resume. There is no evidence or context suggesting proficiency in AI architecture design and development, knowledge of AI technologies, expertise in Python and relevant frameworks, hands-on experience with AWS tools and technologies, familiarity with SQL and NoSQL databases, or proficiency in machine learning and deep learning concepts.
- The resume mentions some certifications in data analytics and machine learning, which are relevant to the job. However, the candidate does not have certifications specifically related to the required skills mentioned in the job requirements.

In summary, while the candidate has a relevant educational background and some certifications, the resume lacks information about years of experience, specific skills and knowledge required for the job, domain expertise, and key competencies. Therefore, the resume is not a strong fit for the job requirements.