insights / picker
—— per-student insight

Sneha Reddy

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CY-28847 · 15 yrs · Grade 10 · Banyan Tree Public School
confidence · HIGH live · claude-sonnet-4-6 · cached · 11737ms on the original call
RIASEC top 3: C E R
— riasec profile

Sneha Reddy's Holland Code

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

20 40 60 80 100 74 46 49 44 78 94 Realistic Investigative Artistic Social Enterprising Conventional

top 3 → CER

— aptitude · DAT V

Student vs cohort mean

Sneha Reddy · Cohort mean

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

Sneha Reddy presents a distinctive aptitude profile, with particularly strong scores in speed-accuracy (91), abstract reasoning (89), and spatial ability (85). These strengths point naturally toward fields that reward precision, pattern recognition, and structured thinking. Her verbal ability (78) adds a communicative dimension that broadens her career fit beyond purely technical roles. Taken together, this profile supports pathways that blend analytical rigour with some degree of creative or expressive engagement.

Her RIASEC pattern (C-E-R as top dimensions) aligns well with the career matches generated — Chartered Accountant (79% fit), Armed Forces Officer (73%), and Civil Engineer (71%). The Conventional-Enterprising combination is especially well-suited to roles involving systems, procedures, and leadership. During her Holland Code session, her top RIASEC dimensions were noted as Realistic, Investigative, and Artistic, and the overall pattern was described as suggesting "strong fit for analytical-creative pathways" [2]. Importantly, her positive response to creative writing during that session is worth keeping in mind as a complementary interest rather than a distraction from stable career options [2].

The data science track was also explored as a viable pathway, and after counsellor-facilitated discussion with her parents — including a walkthrough of demand-index data and three-year placement trends — her family agreed to let Sneha explore the recommended track for one quarter before revisiting at term-end [1]. The "three-test" framework of interest, aptitude, and market demand was applied during an earlier session to help Sneha think through stream selection between Science and Commerce [3].

Sneha is at a productive decision point where multiple strong pathways remain open. Her analytical aptitude, combined with her enterprising and conventional tendencies, makes Commerce with Mathematics a particularly solid foundation for both finance and data-oriented careers.

Recommended next step: Schedule the planned mock interview with an industry mentor to give Sneha a grounded, real-world reference point as she finalises her stream selection.

why this confidence level

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

—— top 5 matches

Career fit (ranked)

1
Chartered Accountant
Finance · fit 79
2
Armed Forces Officer
Civil services · fit 73
3
Civil Engineer
Engineering · fit 71
4
Quantitative Analyst
Finance · fit 67
5
Investment Banker
Finance · fit 66
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]
Parent meeting Nov 7, 2025 report #195
Parent meeting — Sneha Reddy's pathway plan
[2]
Assessment Oct 9, 2025 report #136
RIASEC + DAT V battery interpretation — Sneha Reddy
[3]
Session note Mar 11, 2025 report #141
Career exploration session — Grade 10
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