Scoring Format:
1. Roles & Responsibilities: 6/10
2. Years of Experience: 2/10
3. Education Qualification: 0/10
4. Skills/Knowledge: 4/10
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 analyzing datasets, developing machine learning algorithms, and creating data visualizations. However, there is no mention of cleaning and preprocessing data, staying updated with advancements, or mentoring junior data scientists. The resume aligns somewhat with the job requirements, but there are some gaps.

- Years of Experience: The resume states that the candidate has 5+ years of industry experience, which falls short of the required 8-12 years. The candidate's experience is less relevant to the job requirements.

- Education Qualification: The resume mentions a B.Tech in Computer Science and pursuing an MBA in Finance & Marketing. There is no mention of a Master of Computer Science (MCS) or equivalent qualification, which is required for the role. The candidate's education qualification is not relevant to the job requirements.

- Skills/Knowledge: The resume mentions proficiency in Python, Numpy, Pandas, Matplotlib, Machine Learning, and other relevant skills. However, there is no mention of Artificial Intelligence, Deep Learning, ANN, CNN, or Data Cleaning. The resume aligns somewhat with the job requirements, but there are some missing skills.

- Domain/Industry: The resume does not mention any specific knowledge of the Artificial Intelligence industry. The candidate's domain/industry knowledge is not relevant to the job requirements.

- Key Competencies: The resume does not provide much information about the candidate's competencies. There is no mention of analytical thinking, problem-solving, strong programming skills, data-driven decision-making, communication skills, or mentoring and leadership abilities. The resume aligns somewhat with the job requirements, but there are significant gaps.

Overall, the candidate's resume falls short in several areas. The candidate has some relevant experience in roles and responsibilities, but lacks the required years of experience, education qualification, specific skills, domain/industry knowledge, and key competencies. The resume suggests a need for further development and improvement to meet the job requirements.