Kabir Khan
Kabir Khan's Holland Code
Hand-rendered SVG · 6 dimensions, scored 0–100.
top 3 → AIE
Student vs cohort mean
Kabir Khan · Cohort mean
Kabir Khan presents a distinctive aptitude and interest profile that points clearly toward analytical-creative career pathways. His RIASEC pattern — with Artistic (93), Investigative (88), and Enterprising (85) as the top three dimensions — reflects a student who is equally drawn to originality, rigorous inquiry, and initiative-taking. This AIE combination is relatively rare and signals strong potential in fields that reward both imagination and structured thinking. His numeric (65) and speed-accuracy (87) scores add a practical edge, while his lower Realistic (44) and Social (25) scores suggest he is less suited to purely hands-on or people-intensive roles.
Career matching places Product Design (78% fit), Startup Founder (75%), and AI/ML Engineering (72%) as the top three clusters. These align well with his RIASEC profile and reflect India's growing demand in tech-design and entrepreneurship ecosystems. Notably, his top RIASEC dimensions suggest a strong fit for analytical-creative pathways, and he responded most positively when discussing entrepreneurship during assessment sessions [3].
A recurring theme across interactions is tension around JEE preparation pressure, which has been flagged in multiple counselling touchpoints [1]. This pressure may be narrowing Kabir's perceived options prematurely. The consolidated career review recommended a skills-pivot exposure plan comprising one workshop, one shadow-day, and one mentor conversation in the coming quarter [2]. Architecture was also identified as a consistent top pathway across RIASEC scores, aptitude data, and self-report interest [2].
Kabir's profile is genuinely promising, and the priority now is building confidence through direct exposure rather than abstract deliberation.
Recommended next step: Schedule the shadow-day at the partner firm discussed in the February session, pairing it with a conversation with an alumni mentor from either product design or an entrepreneurial venture.
live LLM inference grounded in 3 cited reports + RIASEC/aptitude data
Career fit (ranked)
Review status
Source reports
Every [N] in the narrative above links to one of these reports. The summary cannot make claims that have no source.