Sneha Kapoor
Sneha Kapoor's Holland Code
Hand-rendered SVG · 6 dimensions, scored 0–100.
top 3 → IAR
Student vs cohort mean
Sneha Kapoor · Cohort mean
Sneha Kapoor presents a compelling and well-rounded aptitude profile. Her numeric reasoning score (93) stands out as an exceptional strength, complemented by strong verbal ability (81) and solid mechanical aptitude (55). Her abstract reasoning (43) sits at a moderate level, which is worth noting as she explores pathways requiring spatial or conceptual fluency. Together, these scores point toward careers that blend analytical rigour with communication and problem-solving.
Sneha's RIASEC profile is led by a dominant Investigative dimension, with Artistic and Realistic as secondary traits — a pattern that suggests strong fit for analytical-creative pathways [3]. Her top career matches include Startup Founder, Product Designer, and Management Consultant, all of which reward the kind of structured curiosity her profile reflects. The consolidated career review identified data science as the top pathway, described as "consistent across RIASEC, DAT V, and self-report interest" [2]. It is worth noting, however, that Sneha herself responded most positively when discussing architecture during her Holland Code session [3].
A productive tension exists between Sneha's personal interests and family priorities. During the parent meeting, her parents shared concern about return on investment given current market signals, and the counsellor walked them through demand-index data and three-year placement trends in architecture [1]. Encouragingly, the family aligned on allowing Sneha to explore the recommended track for one quarter before revisiting at term-end [1]. This structured flexibility gives Sneha meaningful room to test her interests without prolonged uncertainty at home.
The suggested quarter-plan — one workshop, one shadow-day, and one mentor conversation — remains the most grounded immediate action [2]. Recommended next step: schedule the mock interview with an industry mentor as agreed during the January parent meeting, prioritising professionals who bridge both data and design domains.
lowered to medium because input data has missing fields (see note above)
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.