1. Years of Experience: 6/10
2. Experience Summary: 7/10
3. Skills: 8/10
4. Role: 6/10
5. Role Type: 7/10
6. Domain/Industry: 6/10
7. Projects Executed: 8/10

Overall descriptive explanation for the information completeness factor:
- The resume provides a decent level of clarity regarding the candidate's years of experience, experience summary, skills, and projects executed.
- However, there is room for improvement in providing more clarity about the candidate's role, role type, and domain/industry knowledge.
- The resume showcases a good range of technical skills and experience in AI, data science, and machine learning.
- The candidate has worked on various projects related to backorder prediction, invoice extraction, support ticket classification, NLP techniques, medical conversation transcription and summarization, and chatbot development.
- The resume also includes personal information such as date of birth, marital status, nationality, known languages, and passport status.