Aditya Krishnan
Aditya Krishnan's Holland Code
Hand-rendered SVG · 6 dimensions, scored 0–100.
top 3 → CAR
Student vs cohort mean
Aditya Krishnan · Cohort mean
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.
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.