insights / picker
—— per-student insight

Ananya Shetty

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CY-98022 · 17 yrs · Grade 12 · Jacaranda Heights
confidence · HIGH live · claude-sonnet-4-6 · cached · 13397ms on the original call
RIASEC top 3: A I C
— riasec profile

Ananya Shetty's Holland Code

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

20 40 60 80 100 61 69 93 61 38 67 Realistic Investigative Artistic Social Enterprising Conventional

top 3 → AIC

— aptitude · DAT V

Student vs cohort mean

Ananya Shetty · Cohort mean

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

Ananya Shetty presents a distinctive aptitude profile anchored by exceptional spatial reasoning (95), strong numerical ability (90), and well-developed verbal skills (85). Her RIASEC pattern — with Artistic leading at 93, followed by Investigative (69) and Conventional (67) — points clearly toward analytical-creative pathways where imagination and rigorous thinking work in tandem. This combination is relatively rare and genuinely promising.

Her top career match is Data Scientist (Research), with an 82% fit, followed by AI/ML Engineer (69%) and Medicine (71%). These rankings are consistent and meaningful. A consolidated review of her assessments confirms that data science emerges as the top pathway across multiple evaluative lenses, and the suggestion to pursue skills-pivot exposure through one workshop, one shadow-day, and one mentor conversation remains highly relevant at this stage [3]. Connecting Ananya with alumni already working in this field would help translate abstract interest into informed commitment [3].

On the preparation front, Ananya's mock CET results showed strong mathematics performance (90/100), though data interpretation accuracy was identified as a specific gap area, and targeted practice on DI sets across a focused six-week sprint was recommended [1]. Managing this gap early will strengthen her profile for competitive postgraduate programmes in data science or quantitative fields. The Holland Code session also noted a concern worth holding: the need to balance her strong creative interests with stable and well-recognised career paths, particularly in the context of family expectations [2].

The tension around parental expectations is real and worth addressing openly, as it can shape decision-making at a critical juncture [3]. Ananya's profile is genuinely strong — the task now is building confidence and clarity through structured exposure.

Recommended next step: Arrange one shadow-day with a data science professional and schedule a debrief conversation with Ananya and her family to align on a shared roadmap 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 82
2
Doctor (MBBS)
Medicine · fit 71
3
AI/ML Engineer
Engineering · fit 69
4
UX Designer
Design · fit 68
5
Robotics Engineer
Engineering · fit 67
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]
Test result Mar 31, 2026 report #20
Mock CET / aptitude battery — Ananya Shetty
[2]
Assessment Oct 28, 2025 report #197
RIASEC + DAT V battery interpretation — Ananya Shetty
[3]
Career review Jun 7, 2025 report #121
Career review — Ananya Shetty (consolidated)
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