Archish Prakhya

• Applied NLP and machine learning to extract insights from scientific literature, conducted bibliometric and citation network analysis to identify key trends, influential works, and contributors in neuroscience research.
• Collaborated with interdisciplinary research teams to generate data-driven insights that supported neuroscience studies and informed future research directions.

• Developed advanced data analysis skills by conducting qualitative and quantitative research to uncover customer insights related to Gen Z trends, behaviors, and preferences for audio devices.
• Leveraged Python, data science libraries, and natural language processing tools like Gemini AI to perform sentiment analysis and visualize consumer feedback across multiple audio device brands
  

• Analyzed campus trends and student demographics to uncover critical insights, aiding student journalists with data-backed rationales for their articles
• Contributed to creating intricate charts, graphs, and infographics to accompany complex, data-driven stories, enhancing reader understanding and engagement.

Examined vehicle telemetry, including speed, acceleration, and suspension dynamics, to support design advancements and enhance performance of Formula SAE vehicles while optimizing data acquisition.