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

Descriptive Analysis:
Overall Summary:
- The candidate's resume shows some alignment with the job requirements, but there are also significant gaps and weaknesses.

- Roles & Responsibilities: The candidate's resume mentions experience in data analytics and applying machine learning algorithms, which aligns with the job requirement. However, there is no mention of cleaning and preprocessing data, creating data visualizations, or mentoring and guiding junior data scientists. Therefore, the score is 6/10.

- Years of Experience: The resume mentions 4.7 years of experience, which falls short of the required 8-12 years. Therefore, the score is 2/10.

- Education Qualification: The resume does not mention a Master of Computer Science (MCS) or equivalent qualification. Therefore, the score is 0/10.

- Skills/Knowledge: The resume mentions proficiency in Python, Machine Learning, Artificial Intelligence, and Data Cleaning, which align with the job requirements. However, there is no mention of specific knowledge of ANN, CNN, or familiarity with Java, MongoDB, PyTorch, and CI/CD. Therefore, the score is 6/10.

- Domain/Industry: The resume does not mention any knowledge of the Artificial Intelligence industry. Therefore, the score is 0/10.

- Key Competencies: The resume mentions analytical thinking, problem-solving, and strong programming skills, which align with the job requirements. However, there is no mention of data-driven decision-making, communication skills, or mentoring and leadership abilities. Therefore, the score is 4/10.

Overall, the candidate's resume shows some alignment with the job requirements in terms of roles and responsibilities, skills/knowledge, and key competencies. However, there are significant gaps in years of experience, education qualification, domain/industry knowledge, and specific skills. The candidate may not be a perfect fit for the job, but they have some relevant experience and skills that could be considered.