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

Descriptive Analysis: 
Overall Summary- Candidate's Fitment to Job Requirements
- The candidate has demonstrated experience in data science and machine learning, which aligns with the requirement to design and develop robust software applications and integrate AI services.
- With an M.Tech in Data Science and a B.Tech in IT, the candidate meets the educational qualifications and shows a strong foundation in technical knowledge.
- The resume showcases skills in Python, R, and various libraries and tools that are relevant to the job's technical requirements, although it lacks explicit mention of .NET development skills.
- The candidate has experience with data visualization, machine learning, deep learning, and other relevant algorithms, which suggests a good understanding of AI integration.
- There is evidence of collaboration and project involvement, indicating the ability to work with cross-functional teams and communicate effectively.
- The candidate's work as a data scientist and involvement in academic projects demonstrate continuous learning and a potential for leadership in software development.
- Certifications from Microsoft and participation in workshops and webinars indicate a commitment to professional development, although there are no specific certifications listed for Azure Machine Learning or Cognitive Services.
- The resume does not explicitly mention experience with Azure cloud services, which is a significant component of the job requirements. However, given the 'very generous' strictness level, the candidate's background in data science and related technologies may compensate for this gap.
- There is no direct mention of mentoring abilities or adherence to coding standards, but the candidate's progression to a data scientist role and involvement in academic projects suggest potential in these areas.
- The resume does not detail the years of experience in a clear numerical or textual format, but the timeline of employment suggests that the candidate is within the 5-10 years experience range.