Business consultant - Middleware

• Currently, conducting market research and applying UX methods to evaluate Middleware use cases among CTOs.

• Developing user interview protocols to gather insights from stakeholders and uncover pain points in Middleware adoption.

• Conducting competitive audits to map Middleware's ecosystem and identify gaps/opportunities.

• Presenting findings and recommendations to stakeholders.

• Increased task success rate by 18% by leading 12 usability studies, analyzing heatmaps, time-on-task, user behavior, and resolving 4 UX issues.

• Synthesized findings into actionable debriefs and A/B test reports, reducing task completion time by 27% and clarifying navigation.

• Proposed 3 new features, 2 of which were implemented and received 80% positive ratings on feature usefulness in usability surveys.

• Accelerated sprint planning time by 50% by building a centralized research repository synthesizing 60+ insights across teams.

• Prepared pre-launch marketing assets (one-pagers, value-prop decks, user personas) to align teams and strengthen investor presentations.

Course: Intro to Social Statistics

• Taught weekly lab sessions on statistical analysis using RStudio, guiding 40+ students through applied problem-solving.

• Held weekly office hours to support learning, answer questions, and resolve academic challenges.

• Provided one-on-one mentorship, simplifying complex statistical concepts in quantitative research methods.

• Strengthened student proficiency in data analysis, visualization, and interpretation

As a Research Associate, I simultaneously contributed to three interdisciplinary projects exploring autism spectrum disorder (ASD), anxiety, and depression, utilizing both qualitative and quantitative methods to investigate underlying cognitive and neural processes.

• Managed data collection for 200+ participants using fMRI, MRI, and eye-tracking techniques, ensuring accuracy and adherence to ethical standards.

• Optimized data processing time by 97% by developing a Python-based coding protocol for behavioral datasets.

• Led a 10-member cross-functional team to coordinate ethical data collection and streamline communication with external stakeholders.

• Designed and implemented experimental protocols in PsychoPy and analyzed results using SPSS and Python, generating data visualizations for stakeholder presentations.

• Co-authored a peer-reviewed manuscript published in Springer Nature and presented findings at 3 academic conferences.

I contributed to the development of an online neurorehabilitation app aimed at increasing accessibility and personalization for patients and therapists. Led end-to-end research across multiple stages of the design process to support evidence-based, user-centered product development.

• Improved rehabilitation efficiency by 33% by reducing patient wait times and developing an online rehabilitation app aimed at enhancing rehab accessibility for 1000+ patients and therapists.

• Synthesized insights from 2 field observations involving 20 patients, coded the observation data to formulate a problem statement and hypothesis, and guided the development of targeted solutions.

• Conducted 6 in-depth interviews with patients and family caregivers, employed thematic analysis to identify key pain points, and informed user-centric solutions like personalized therapy exercises and simplified navigation.

• Led 4 moderated mixed-method user research sessions to gather comprehensive feedback on design prototypes, iterating the design 3 times to improve user experience and functionality through actionable insights.

A mobile app designed to enhance aftercare in online addiction treatment, I led the design of the onboarding process and progress tracker, leveraging psychological principles to optimize user engagement and retention. My contributions directly influenced user satisfaction metrics, resulting in improved recovery tracking and completion rates.

• Collaborated with multidisciplinary stakeholders in bi-weekly meetings to translate research insights into actionable design solutions within 3 months.

• Analyzed feedback from 100+ users, iterating the app through 3 rounds of wireframing and prototyping, resulting in a 92% completion rate for key questionnaires and improving user recovery tracking.

• Applied psychological expertise to CBT module designs, resulting in 300+ successful test completions and a 13% increase in therapy practice during user testing.

• Administered, scored, and interpreted psychological assessments, including the Hamilton Depression Scale, Addenbrooke's Cognitive Assessment, BDI, and Malin's Intelligence Scale for Indian Children.

• Conducted over 250 hours of therapy sessions under the supervision of senior psychiatrists and psychologists.

• Participated in weekly supervision sessions with department psychologists for skill development and case discussions.

• Delivered comprehensive bi-weekly case presentations to multidisciplinary teams.

• Assisted occupational therapists in educational and skill-learning sessions for children with ADHD and ASD.