Aditya Banerjee

Aditya Banerjee presents a distinctive aptitude profile marked by exceptional abstract reasoning (91st percentile) and strong speed-accuracy performance (84th percentile), paired with solid spatial ability (73rd percentile) and mechanical aptitude (71st percentile). His verbal scores are comparatively modest, which is worth factoring into pathway planning. These strengths point naturally toward roles demanding creative problem-solving, systems thinking, and iterative design — areas where Aditya's profile can genuinely shine.

His RIASEC pattern (Artistic-Enterprising-Investigative) aligns well with his top career matches: Startup Founder (76% fit) and Product Designer (75% fit). These are coherent choices given his high abstract and spatial scores, and his enterprising orientation suggests he would thrive in environments that reward initiative and original thinking. The data science pathway has also emerged consistently across his RIASEC profile, aptitude data, and self-reported interests as a strong contender ^[1].

On the assessment front, Aditya's mock CET results showed balanced scores across Maths, Logical Reasoning, and English (59/100 each), with time management noted as a strength; however, accuracy on data interpretation remains the key gap ^[2]. Targeted practice on DI sets — two evenings per week over a six-week sprint — was recommended as a focused remediation strategy ^[2]. An earlier review flagged stream selection tension between Science and Commerce as a family conversation point, with alumni introductions in the target field suggested as a practical next step ^[3].

Bringing this together, Aditya's strongest forward pathway sits at the intersection of design thinking, data literacy, and entrepreneurial aspiration — a combination well-supported by both his aptitude profile and career match data. The family dynamics around academic pressure deserve continued counsellor attention to ensure Aditya's choices remain genuinely his own.

Recommended next step: Schedule the parent meeting to address stream-selection and JEE-pressure concerns, and arrange one shadow-day in a product design or startup setting before the next term review.