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

Descriptive Analysis:
Overall Summary:
The candidate's resume shows a mix of relevant and less relevant experience and skills for the job requirements.

- Roles & Responsibilities: The candidate has experience in analyzing data, developing machine learning models, and creating data visualizations. They have also mentored junior data scientists. However, there is no mention of collaborating with cross-functional teams or staying updated with advancements in machine learning and artificial intelligence. The resume aligns somewhat with the job requirements in this area.

- Years of Experience: The candidate has 11 years of experience as an IT professional, but only 6 years of relevant experience in machine learning and deep learning. While they have some experience in the field, it falls short of the required 8-12 years of experience.

- Education Qualification: The resume does not provide clear information about the candidate's education qualification. There is no mention of a Master of Computer Science (MCS) or equivalent degree. Therefore, the score for this requirement is 0.

- Skills/Knowledge: The candidate has proficiency in Python, machine learning, deep learning, and data cleaning. They also have experience with statistical analysis, data visualization, data preprocessing, and feature engineering. However, there is no mention of artificial intelligence, ANN, CNN, MongoDB, PyTorch, or CI/CD. The resume aligns somewhat with the primary skills required for the job.

- Domain/Industry: The resume does not explicitly mention knowledge of the artificial intelligence industry. Therefore, the score for this requirement is 4.

- Key Competencies: The candidate has demonstrated analytical thinking, problem-solving, strong programming skills, and data-driven decision-making. They have also mentioned their communication skills and experience in mentoring and leadership. The resume aligns somewhat with the key competencies required for the job.

Overall, the candidate's resume shows some alignment with the job requirements, particularly in roles & responsibilities, skills/knowledge, and key competencies. However, there are areas where the candidate falls short, such as years of experience, education qualification, and domain/industry knowledge.