Scoring Format:
1. Roles & Responsibilities: 8/10
2. Years of Experience: 0/10
3. Education Qualification: 6/10
4. Skills/Knowledge: 6/10
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 8/10.
- However, there is no information provided about the candidate's years of experience, resulting in a score of 0/10.
- The candidate holds a Master's degree in Data Analytics, which is somewhat relevant to the required educational qualification, scoring 6/10.
- The candidate possesses skills in Python, SQL, Pandas, and various ML and DL concepts, which are somewhat relevant to the required skills, scoring 6/10.
- There is no mention of the candidate's knowledge of the US Mortgage origination & servicing domain, resulting in a score of 0/10.
- The candidate demonstrates key competencies in programming, AI architecture design and development, and knowledge of AI technologies, scoring 6/10.
- The candidate has relevant certifications in SQL and Machine Learning, but there is no evidence of certifications in other required skills, resulting in a score of 4/10.

Detailed Analysis:
- The candidate's resume showcases experience in building automation pipelines using CNN/RNN models and LLM for document indexing and data extraction. This aligns with the requirement of building automation pipelines using CNN/RNN models and LLM for document indexing, scoring 8/10.
- The resume also mentions experience in crafting and optimizing text prompts for generative AI tasks, collaborating with data scientists, and continuously iterating on prompts. This aligns with the requirement of collaborating with data scientists to understand GenAI model capabilities and tailor prompts, scoring 8/10.
- The candidate's resume includes projects related to deep learning techniques, LSTM algorithms, and NLP. This indicates proficiency in neural networks, machine learning algorithms, and NLP, scoring 6/10.
- The resume mentions experience with Python, SQL, Pandas, and various ML and DL concepts, which aligns with the required skills, scoring 6/10.
- There is no mention of the candidate's knowledge of the US Mortgage origination & servicing domain, resulting in a score of 0/10.
- The resume demonstrates key competencies in programming, AI architecture design and development, and knowledge of AI technologies, scoring 6/10.
- The candidate has certifications in SQL and Machine Learning, but there is no evidence of certifications in other required skills, resulting in a score of 4/10.

Overall, the candidate's resume aligns well with the roles and responsibilities mentioned in the job requirements. However, there is a lack of information about the candidate's years of experience and knowledge of the US Mortgage origination & servicing domain. The candidate possesses relevant educational qualifications and skills, but there are no certifications in some of the required skills.