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

Descriptive Analysis: 
Overall Summary- Candidate Fitment Analysis
- The candidate has over 14 years of experience, with 6.5+ years in Data Science, which exceeds the requirement of 8 to 12 years, indicating a strong fit in terms of experience.
- The educational qualifications include a Bachelor of Engineering (B.E.), aligning perfectly with the job's educational requirements.
- The resume demonstrates a strong foundation in Python, Machine Learning, and Deep Learning, which are mandatory skills for the role. However, there is no explicit mention of Generative AI or C# Programming, which are also mandatory skills.
- The candidate has worked on projects involving Machine Learning and NLP, which suggests some alignment with the banking domain, but there is no direct evidence of banking industry knowledge, which is a desired domain/industry experience.
- Key competencies such as technical expertise, leadership, and strategic thinking are evident through the candidate's roles in leading projects, mentoring, and proposing solutions to business challenges.
- Certifications are not directly aligned with the mandatory skills listed, as there is no specific mention of certifications in Generative AI, Deep Learning, or C# Programming.
- The resume shows the candidate has worked in full-time roles and has experience with cloud platforms and project management tools, which are beneficial for the job's requirements.
- The candidate's experience with various AI and ML tools, as well as their leadership in project transitions and security measures, suggests a strong technical foundation and strategic approach to problem-solving.
- There is a gap in the explicit mention of experience or knowledge in the banking sector, which could be a concern for domain-specific expertise.
- The candidate's experience with cloud platforms like AWS, Azure, and IBM Cloud, as well as project management tools like Jira and GitHub, aligns well with the technical environment of LTI Mindtree.