NTU AI Internship Candidate Analysis
Last updated: April 21, 2025
Average Business Score
0.0
Scoring System
Candidates are evaluated using a weighted scoring system that emphasizes technical skills:
- Tech Skills: 50% of total score - Programming proficiency, technical knowledge, and tool expertise
- AI Skills: 30% of total score - AI/ML knowledge, data science capabilities, and analytical skills
- Business Skills: 20% of total score - Business acumen, communication, and domain knowledge
This weighting ensures we prioritize candidates with strong technical foundations needed for AI implementation.
Candidate Score Distribution
Top 5 Candidates Comparison
| Name |
University |
Nationality |
Degree |
AI Score |
Business Score |
Total Score |
Gen AI Interests |
Department Preferences |
AI Keywords |
Business Keywords |
Notes |