insights / picker
—— per-student insight

Yash Bhatt

(you are counselor — submit will trigger a 403 demo)
CY-33032 · 17 yrs · Grade 12 · Banyan Tree Public School
confidence · HIGH live · claude-sonnet-4-6 · cached · 14158ms on the original call
RIASEC top 3: C S E
— riasec profile

Yash Bhatt's Holland Code

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

20 40 60 80 100 21 32 20 37 34 64 Realistic Investigative Artistic Social Enterprising Conventional

top 3 → CSE

— aptitude · DAT V

Student vs cohort mean

Yash Bhatt · Cohort mean

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

Yash Bhatt presents a strong quantitative profile, with numeric aptitude standing out clearly as his highest score, complemented by solid spatial and speed-accuracy abilities. His RIASEC results place Conventional tendencies at the top, suggesting he is comfortable with structured, rule-based work that involves data, systems, and analysis. Together, these indicators point naturally toward careers in finance, data science, or public administration — fields where precision and analytical rigour are rewarded.

Career match scores align well with this profile. Investment Banking emerges as the top career fit, followed closely by Civil Services (IAS/IPS), and Chartered Accountancy as a third option. Notably, the consolidated career review identified data science as a consistent top pathway across assessment, RIASEC, and self-reported interest, and also flagged a family conversation around tension between Science and Commerce stream selection — a practical matter worth revisiting openly [1]. Both directions (finance-oriented Commerce and data/engineering-oriented Science) are genuinely viable given Yash's aptitude spread, and the stream decision deserves a calm, evidence-based family discussion.

On exam readiness, Yash's logical reasoning is a clear strength, scoring 86/100 in the August mock battery, while accuracy on the data interpretation section was identified as a gap, with a recommendation for targeted DI practice two evenings per week over a six-week sprint [2]. An earlier attempt also showed strong English performance at 92/100, though logical reasoning was lower at that stage, suggesting meaningful improvement over time [3].

The counsellor's plan to introduce Yash to alumni in his target field and arrange a shadow day and mentor conversation is well-suited to where he stands right now [1].

Recommended next step: Yash should attend one data science or finance workshop this quarter and simultaneously begin the six-week DI practice sprint to sharpen his most actionable competitive gap 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
Investment Banker
Finance · fit 78
2
Civil Services (IAS/IPS)
Civil services · fit 75
3
Chartered Accountant
Finance · fit 59
4
Quantitative Analyst
Finance · fit 57
5
Civil Engineer
Engineering · fit 54
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]
Career review Oct 18, 2025 report #127
Career review — Yash Bhatt (consolidated)
[2]
Test result Aug 31, 2025 report #164
Mock CET / aptitude battery — Yash Bhatt
[3]
Test result Apr 1, 2025 report #18
Mock CET / aptitude battery — Yash Bhatt
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