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: 6/10
6. Key Competencies: 8/10

Descriptive Analysis:
Overall Summary:
- The candidate's resume aligns well with the job requirements, with strengths in roles & responsibilities, skills/knowledge, and key competencies.
- However, there are some weaknesses in the years of experience and education qualification sections.

Detailed Analysis:
- Roles & Responsibilities: The candidate's resume demonstrates experience in performing business and data analysis, collaborating with stakeholders, developing reports and dashboards, and delivering projects on time and within budget. The resume also mentions experience in AI initiatives and data quality plans. These align well with the job requirements, earning a score of 8/10.
- Years of Experience: The resume does not explicitly mention the candidate's years of experience as a data analyst or IT business analyst. However, based on the candidate's overall experience and achievements, it can be inferred that they have at least 3-5 years of experience. Therefore, a score of 6/10 is given.
- Education Qualification: The resume does not provide clear information about the candidate's educational qualification. While it mentions a B.Tech degree, it does not specify if it is related to the required fields. Therefore, a score of 4/10 is given.
- Skills/Knowledge: The resume mentions skills such as SQL, data analysis, data cleaning, reporting tools, and Microsoft Excel proficiency. These align well with the job requirements. Additionally, the resume mentions experience with data integration and project management, which are relevant skills. Therefore, a score of 8/10 is given.
- Domain/Industry: The resume does not explicitly mention knowledge of the finance or investments domain. However, based on the candidate's experience in financial corporations and financial data analysis, it can be inferred that they have some knowledge in this domain. Therefore, a score of 6/10 is given.
- Key Competencies: The resume mentions strong analytical skills, attention to detail, data interpretation and analysis, data integration, report and dashboard design and development, data quality management, and project management. These align well with the job requirements, earning a score of 8/10.

Overall, the candidate's resume demonstrates a good fitment to the job requirements, with strengths in roles & responsibilities, skills/knowledge, and key competencies. However, there are some weaknesses in the years of experience and education qualification sections.