Pranav Krishnan
Pranav Krishnan's Holland Code
Hand-rendered SVG · 6 dimensions, scored 0–100.
top 3 → ECI
Student vs cohort mean
Pranav Krishnan · Cohort mean
Pranav Krishnan presents a compelling aptitude profile that blends strong analytical ability with a creative streak — a combination that opens doors across several high-growth career pathways. His abstract reasoning (78), numeric aptitude (74), and speed-accuracy scores (79) all sit comfortably above median, making him well-suited for quantitatively demanding roles. His verbal aptitude (70) further strengthens his capacity for communication-heavy work within those fields.
His RIASEC profile is anchored by Investigative (89), Enterprising (91), and Conventional (91) dimensions, and the assessment noted that "the pattern suggests strong fit for analytical-creative pathways," with Pranav responding most positively when discussing research [2]. This profile aligns closely with a Quantitative Analyst role (fit: 78), which sits at the top of his career matches, followed by Chartered Accountant and Investment Banker — all within the Finance family. The Artistic dimension (69) is worth nurturing; it may translate well into data storytelling, financial writing, or research communication over time.
On the academic preparation front, Pranav's mock CET results were strong overall — Maths 91/100 and Logical Reasoning 81/100 — though data interpretation was identified as a gap area, with a recommendation for "targeted practice on DI sets, two evenings per week, six-week sprint" [1]. Addressing this will sharpen exactly the skill set Quantitative Analyst and finance roles demand. His parents have agreed to let him explore this track for one quarter, with a term-end review planned, and a mock interview with an industry mentor was identified as the immediate next action [3].
Recommended next step: Schedule the mock interview with a finance industry mentor before term-end to give Pranav real-world exposure and concrete talking points for the family review conversation.
live LLM inference grounded in 3 cited reports + RIASEC/aptitude data
Career fit (ranked)
Review status
Source reports
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