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

Overall Summary-
- The candidate's resume shows a strong alignment with the roles and responsibilities required for the position, particularly in the areas of AI, machine learning, and data science. The candidate has experience with cloud machine learning (AWS), which is somewhat relevant to Azure services.
- With a B.Tech in Electronics and Communications Engineering and several certifications, including Microsoft Azure Data Scientist Associate, the candidate meets the educational qualifications and has relevant certifications.
- The candidate has demonstrated skills in Python, SQL, and various AI and machine learning tools, which aligns with the requirement for deep expertise in Azure Machine Learning service and Azure Cognitive Services. However, the resume does not explicitly mention experience with Azure Bot Service, Functions, Logic Apps, or Kubernetes Service (AKS), which could be a minor gap.
- The candidate's work experience as a Data Scientist/Machine Learning Intern and Research Data Management aligns with the required years of experience, although it is on the lower end of the 5 to 10 years range.
- The resume does not provide specific details about the domain or industry, but the candidate's experience in data science and AI projects suggests a strong foundation that could be applicable to various domains.
- Key competencies such as analytical skills, problem-solving, and effective communication are highlighted in the resume, indicating a good fit for the position.
- Certifications listed on the resume, including the Microsoft Azure Data Scientist Associate, support the candidate's proficiency in the required skills.
- The resume does not mention travel readiness or location preferences, which could be a minor gap in alignment with the job's travel requirements. However, given the very generous strictness level, the candidate's overall fitment is strong.