Yash Raj

Conducted advanced research in gesture recognition and artificial skin prototypes, leveraging ML and data visualization to drive product enhancements.

• Conducted comprehensive research on gesture recognition systems, training ML classifiers to detect touch patterns with 92% accuracy.
• Developed data-driven visualizations using Pandas, NumPy, and Matplotlib, translating complex data into actionable insights for project stakeholders.
• Collaborated within a 3-member team to analyze user interaction data, proposing data-backed product enhancements for artificial skin prototypes.

Designed and executed user acquisition strategies and data analysis to optimize onboarding flows and identify growth opportunities.

• Designed and executed user acquisition campaigns across multiple digital channels, driving a 25% increase in pre-registrations.
• Executed comprehensive competitor benchmarking and market research, identifying key growth opportunities that directly influenced two new feature rollouts.
• Analyzed user funnel data using Excel and SQL, optimizing onboarding flows and reducing drop-offs by 15%.
• Collaborated closely with product, marketing, and tech teams to align growth strategies with user experience goals.

Led a student organization, revitalizing its project department and significantly increasing member engagement.

• Revitalized a dormant project department, launching 3 new initiatives that increased member engagement by 40%.
• Organized technical workshops and events, collaborating with cross-functional teams to enhance community impact.

Led a 5-member team in designing and delivering official merchandise for TechnoVIT, ensuring brand consistency and timely execution.

• Led a 5-member team to design and deliver official TechnoVIT merchandise, ensuring brand consistency and timely execution.
• Managed vendor coordination and printing logistics to ensure high-quality output within deadlines.

Developed a real-time English-to-French speech translator leveraging ASR, NMT, and TTS pipelines.

Designed and developed a real-time touch sensing module and data pipeline for robotic applications.

Designed and implemented a focus-assistive robot to address ADHD-specific challenges through user-centered research.