Sunishka S. — Cornell University, US: case study

Sunishka has been a bright student who came to UnivAdmitHelp with an interdisciplinary background in Psychology and Business Analytics from FLAME University, Pune. Her experience spanned data science, product development, behavioural research and design. At Schneider Electric, she developed a manufacturing-defect dashboard for eight production lines, associated with substantial savings. Her research on the Uncanny Valley effect, involving many participants, was presented at a national psychology conference. Beyond academics, she led campus initiatives, co-founded a film club and mentored students. She was particularly interested in understanding how human behaviour influences technology and how intelligent systems can be designed around their users.
 

Sunishka's interests were diverse, but her postgraduate direction was initially unclear. She was considering behavioural science, data science, business and technology-oriented programmes, without a sharply defined academic focus.

Her undergraduate degree in Psychology, coupled with technical coursework and internships, also meant she needed to demonstrate her readiness for a computing and information science programme.

We needed to identify a compelling connection between psychology, machine learning, research and design, while establishing a clear academic rationale for pursuing advanced studies in human-computer interaction.

Our mentoring began with career exploration and structured academic planning. We evaluated different postgraduate pathways, encouraged Sunishka to prioritise research over additional extracurricular activities, and helped her identify the intersection of psychology and technology as her strongest direction.

We worked on strengthening her research positioning, particularly her study of the Uncanny Valley effect and her subsequent dissertation exploring how AI-generated responses influence human decision-making. These experiences helped establish her interest in trust, cognitive biases and human-machine interaction.

Through detailed brag-sheet exercises, university research and narrative development, we identified a central theme: technology must be designed around human behaviour, not merely technical capability.

Her Schneider Electric experience became an important example. Rather than describing the Tableau dashboard as a technical achievement alone, we highlighted how its intuitive, colour-coded interface helped stakeholders interpret complex manufacturing data and make decisions.

We then developed her statement of purpose through multiple drafts, refining the connection between her psychological research, machine-learning projects, professional experience and future ambitions. Each example was selected to demonstrate a distinct insight into human-centred technology.

Alongside essay development, we guided programme selection, application planning, GRE strategy and recommendation-letter preparation, ensuring that her interdisciplinary background was presented as a strength rather than a limitation.

In this process we can be true to our intentional mentoring process but in the end it’s the student’s persistence, rigour and unwavering trust on us that lead to such fantastic results.

Sunishka secured admission to Cornell University for the Dual MS in Computing & Information Science, Class of 2027.

Her final application presented a clear progression from studying human behaviour to investigating how people interact with intelligent systems. Research on artificial faces, machine-learning experiments and her experience designing industrial dashboards collectively demonstrated her readiness for interdisciplinary graduate study.

What initially appeared to be a collection of unrelated interests became a focused academic narrative around human-computer interaction, ethical AI and decision-support systems.

Her admission marked an important step towards her ambition of developing technology that is intuitive, trustworthy and genuinely human-centred.