Scoring Format:
1. Roles & Responsibilities: 8/10
2. Years of Experience: 6/10
3. Education Qualification: 4/10
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 good fitment to the job requirements, with strengths in roles and responsibilities, skills/knowledge, and key competencies. However, there are some weaknesses in years of experience, education qualification, and domain/industry knowledge.

- Roles & Responsibilities:
The candidate's resume demonstrates experience in analyzing large datasets, developing and implementing machine learning algorithms, and creating data visualizations. They have also mentored and guided junior data scientists. These experiences align well with the job requirements, indicating a strong fitment. The score of 8/10 reflects this alignment.

- Years of Experience:
The candidate's resume mentions a total of 11 years of diversified experience, which falls within the required range of 8-12 years. However, the resume does not provide a clear breakdown of the years of experience in the field of data science. Therefore, the score of 6/10 is given, indicating a somewhat relevant fitment.

- Education Qualification:
The candidate's resume mentions a Master of Computer Science (MCS) equivalent qualification. However, the resume does not provide specific details about the educational institution or the completion year. Therefore, the score of 4/10 is given, indicating a less relevant fitment.

- Skills/Knowledge:
The candidate's resume mentions proficiency in Python, machine learning, artificial intelligence, deep learning, and data cleaning. They also have experience with statistical analysis, data visualization, and various machine learning algorithms. These skills align well with the job requirements, indicating a strong fitment. The score of 8/10 reflects this alignment.

- Domain/Industry:
The candidate's resume mentions experience in the finance and FMCG/retail domains but does not explicitly mention knowledge of the artificial intelligence industry. Therefore, the score of 4/10 is given, indicating a somewhat relevant fitment.

- Key Competencies:
The candidate's resume mentions analytical thinking, problem-solving, strong programming skills, data-driven decision-making, communication skills, and mentoring and leadership abilities. These competencies align well with the job requirements, indicating a good fitment. The score of 6/10 reflects this alignment.

Overall, the candidate's resume shows a good fitment to the job requirements in terms of roles and responsibilities, skills/knowledge, and key competencies. However, there are some weaknesses in years of experience, education qualification, and domain/industry knowledge.