insights / picker
—— per-student insight

Kabir Khan

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CY-13225 · 16 yrs · Grade 11 · Jacaranda Heights
confidence · HIGH live · claude-sonnet-4-6 · cached · 11142ms on the original call
RIASEC top 3: A I E
— riasec profile

Kabir Khan's Holland Code

Hand-rendered SVG · 6 dimensions, scored 0–100.

20 40 60 80 100 44 88 93 25 85 51 Realistic Investigative Artistic Social Enterprising Conventional

top 3 → AIE

— aptitude · DAT V

Student vs cohort mean

Kabir Khan · Cohort mean

—— ai narrative
live · claude-sonnet-4-6 · served from cache

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.

why this confidence level

live LLM inference grounded in 3 cited reports + RIASEC/aptitude data

—— top 5 matches

Career fit (ranked)

1
Product Designer
Design · fit 78
2
Startup Founder
Entrepreneurship · fit 75
3
AI/ML Engineer
Engineering · fit 72
4
Doctor (MBBS)
Medicine · fit 71
5
Data Scientist (research)
Research · fit 70
Computed live · RIASEC overlap × demand index. Algorithm visible at /dashboard.
—— supervisor review · §3.4

Review status

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—— citations

Source reports

Every [N] in the narrative above links to one of these reports. The summary cannot make claims that have no source.

[1]
Session note Feb 2, 2026 report #19
Career exploration session — Grade 11
[2]
Career review Nov 30, 2025 report #22
Career review — Kabir Khan (consolidated)
[3]
Assessment Apr 30, 2025 report #178
RIASEC + DAT V battery interpretation — Kabir Khan
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