At Reejig, the AI-driven approach ensures that your skill proficiency is determined with precision and relevance. However, understanding the underlying mechanisms can provide clarity on how your skills are evaluated. Let's delve into the process.
1. Data Analysis and Interpretation:
Reejig's AI analyzes a vast array of data points from your profile, including your employment history, education, projects, and other relevant experiences. By assessing this data, the AI gauges the depth and breadth of your expertise in various skills.
2. Recency and Relevance:
The AI places emphasis on the recency of your experiences. Skills that you've utilized or developed recently might be assigned a higher proficiency, as they are deemed to be more current and honed.
3. Comparison with Career Pathways:
By analyzing millions of career paths, Reejig's AI understands typical skill progressions in various roles and industries. Your skill proficiency is determined in part by comparing your trajectory with these established pathways.
4. Skill Overlap and Complementary Skills:
The AI recognizes that certain skills often overlap or complement each other. For instance, proficiency in one programming language might suggest proficiency in a related language. The AI uses such correlations to refine its proficiency estimates.
5. Continuous Learning and Feedback Loop:
As you engage with the Reejig platform, participate in gigs, projects, or training, and provide feedback, the AI continuously learns and refines its understanding of your skill proficiency.
6. Co-Creation and User Input:
While the AI provides initial proficiency estimates based on the data it analyzes, it's designed to prompt users for input. This co-creation approach ensures that the proficiency levels are not just AI predictions but are also influenced by your self-assessment.