Arjun Krishnan

Arjun Krishnan presents a profile shaped by strong Conventional, Investigative, and Enterprising orientations (CIE), pointing toward structured analytical work that also offers room for strategic thinking and problem-solving. His aptitude scores reinforce this picture: speed-accuracy (69) and verbal (64) are his strongest performance measures, with numeric (57) and abstract (65) reasoning providing a solid foundation for quantitative and computational fields. Spatial and mechanical scores are comparatively lower, which is worth keeping in mind when evaluating engineering sub-disciplines.

Career-match modelling places Quantitative Analyst (Finance family, fit 79) at the top, followed by Software Engineer in Computer Science (fit 72) and Data Scientist in a research setting (fit 67). These roles align well with his CIE profile and his stronger numeric and abstract aptitude. They also reflect growth areas in the Indian job market, particularly in BFSI, tech, and analytics sectors.

During his recent counselling session, Arjun surfaced a meaningful tension: how to balance creative interests with stable career paths ^[1]. This is a common and valid concern, and it is worth noting that fields like quantitative finance and data science do carry significant creative problem-solving elements alongside structural stability. The counsellor applied the 'three-test' framework — interest, aptitude, and market demand — to help map these priorities, and a shadow-day at a partner firm has been arranged as a concrete next step ^[1].

Overall, Arjun's profile suggests a young person with genuine analytical capability who benefits from experiential exposure before committing to a pathway.

Recommended next step: Prioritise the upcoming shadow-day experience and use the 10-day follow-up session to reflect on whether Quantitative Analysis or Data Science feels like a stronger fit for both his aptitude and his creative ambitions.