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

Descriptive Analysis: 
Overall Summary- Candidate Fitment Analysis
- The candidate has 3 years of experience in Data Science, which is below the required 5-10 years, but the strictness level is very generous, so a score of 4 is given.
- The candidate possesses an MCA and a BCA, which are relevant to the Bachelor of Engineering (BE) requirement, hence an 8 is given.
- Skills in Python, Machine Learning, Deep Learning, Computer Vision, and NLP are mentioned, which are somewhat relevant to the Azure and AI integration skills required. However, specific Azure skills are not explicitly stated, leading to a score of 6.
- No domain or industry specifics are provided in the job description, so the candidate's experience in AI and software development is considered a perfect fit, scoring 10.
- Key competencies such as leadership and mentoring are not explicitly mentioned, but the candidate has experience in software development and AI, which implies some level of leadership and mentoring abilities. Strong communication is suggested through presentations and paper publications, scoring a 6.
- Certifications directly related to Azure or the specific skills required are not listed, resulting in a lower score of 2.
- The candidate has demonstrated continuous learning and adaptation through various projects and achievements, aligning well with the job's emphasis on emerging technologies.
- The resume lacks details on experience with Azure services, which is a significant gap for the role. However, the candidate's software development background and AI expertise provide a foundation that could be built upon with additional training or experience in Azure-specific technologies.