insights / picker
—— per-student insight

Aditya Krishnan

(you are counselor — submit will trigger a 403 demo)
CY-46839 · 16 yrs · Grade 11 · Banyan Tree Public School
confidence · HIGH live · claude-sonnet-4-6 · cached · 12696ms on the original call
RIASEC top 3: C A R
— riasec profile

Aditya Krishnan's Holland Code

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

20 40 60 80 100 47 34 60 31 24 86 Realistic Investigative Artistic Social Enterprising Conventional

top 3 → CAR

— aptitude · DAT V

Student vs cohort mean

Aditya Krishnan · Cohort mean

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

Aditya Krishnan presents a distinctive aptitude and interest profile that rewards careful interpretation. His RIASEC pattern is led by Conventional (C = 86), Artistic (A = 60), and Realistic (R = 47) dimensions, suggesting someone who brings creative thinking within structured, detail-oriented frameworks. His abstract reasoning score of 61 is the strongest among the aptitude dimensions, pointing to solid analytical potential, while verbal ability at 49 sits in a moderate range. Career-match modelling places Data Scientist (Research) at the top (67% fit), followed by Chartered Accountant (60%) and Software Engineer (55%).

Prior assessment work noted that Aditya's RIASEC pattern "suggests strong fit for analytical-creative pathways," and he "responded most positively when discussing medicine" during the Holland Code session [3]. It is worth noting, however, that the consolidated career review identified entrepreneurship as the "top pathway, consistent across RIASEC, DAT V, and self-report interest," and flagged a "family conversation around managing parental expectations" as an area needing attention [1]. These two threads — an internal pull toward medicine and entrepreneurship, and external structures pointing toward research or finance — form the central tension to work through with Aditya.

On the academic preparation front, his mock CET results showed a notable strength in English (85/100) alongside gaps in data interpretation, with a specific recommendation for "targeted practice on DI sets, two evenings per week, over a six-week sprint" [2]. Addressing this gap will strengthen his options across most of the high-fit pathways regardless of which direction he ultimately chooses.

Recommended next step: Arrange the alumni introductions already planned in the career review, prioritising one contact each from research/data science and entrepreneurship, so Aditya can test both directions through real-world conversation before the next term review.

why this confidence level

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

—— top 5 matches

Career fit (ranked)

1
Data Scientist (research)
Research · fit 67
2
Chartered Accountant
Finance · fit 60
3
Software Engineer (CS)
Engineering · fit 59
4
Pharmacist
Medicine · fit 57
5
Civil Engineer
Engineering · fit 56
Computed live · RIASEC overlap × demand index. Algorithm visible at /dashboard.
—— supervisor review · §3.4

Review status

queue →

No supervisor review yet. Submit this insight for review by an admin or reviewer before it's used in a counsellor-parent conversation.

—— 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]
Career review Jan 29, 2026 report #109
Career review — Aditya Krishnan (consolidated)
[2]
Test result Jul 13, 2025 report #33
Mock CET / aptitude battery — Aditya Krishnan
[3]
Assessment Apr 29, 2025 report #77
RIASEC + DAT V battery interpretation — Aditya Krishnan
Back to picker Search all reports for Aditya Krishnan