Krishna Subramanian

Krishna Subramanian presents a distinctive aptitude profile anchored by exceptional verbal reasoning (95th percentile) and strong mechanical and abstract reasoning scores, complemented by solid speed-accuracy performance. Numeric reasoning is a relative gap area worth monitoring as career pathways are finalized. The RIASEC pattern — Conventional, Investigative, and Enterprising as the leading dimensions — points toward roles that blend analytical rigor with structured systems thinking and a degree of initiative.

The career match data places Quantitative Analyst, Software Engineer (CS), and Data Scientist (Research) as the top three fits, all within the 70–75 range. These roles align well with Krishna's Investigative and Conventional strengths. In a counselling session, Krishna surfaced the challenge of balancing creative interests with stable career paths, and the counsellor applied the three-test framework of interest, aptitude, and market demand to help bring clarity to this tension ^[2]. Research-oriented pathways appear to resonate particularly with Krishna's intrinsic curiosity ^[2].

On the assessment front, Krishna performed strongly in Maths (77/100) and English (75/100) on the mock CET battery, with time management noted as a strength. However, accuracy on the data interpretation section was identified as the key gap, and a targeted six-week practice sprint focusing on DI sets two evenings per week was recommended ^[1]. Closing this gap would directly strengthen competitiveness for quantitative and data-science programmes.

A follow-up mock interview with an industry mentor has already been pencilled in, which is an excellent step toward grounding Krishna's aspirations in real-world expectations ^[2]. Recommended next step: begin the six-week DI practice sprint immediately and use the mentor interview to stress-test fit with the Quantitative Analyst or Data Scientist track.