Naman Sharma

Conducted research on Drug-Drug Interaction (DDI) detection and Ayurvedic medicinal data analysis using advanced data modeling techniques. Developed an Ayurvedic and Herbal Knowledge Graph using Neo4j to store, query, and visualize relationships between herbs, remedies, and medicinal properties. Built a Flask-based web interface to visualize and query the knowledge graph, enabling intuitive access for research and analysis.

Research Intern - Central University of Himachal Pradesh - Dharamshala

(2025-06 - 2025-08)

• Conducted research on Drug-Drug Interaction (DDI) detection and Ayurvedic medicinal data analysis using advanced data modeling techniques.
• Developed an Ayurvedic and Herbal Knowledge Graph using Neo4j to store, query, and visualize relationships between herbs, remedies, and medicinal properties.
• Built a Flask-based web interface to visualize and query the knowledge graph, enabling intuitive access for research and analysis.
• Applied Graph Neural Networks (GNN) for pattern recognition and potential herbal combination discovery based on medicinal attributes.

Data Analyst Intern - Centre for Railway Information Systems (CRIS) - New Delhi, India

(2025-08 - 2025-09)

• Performed GMT data analysis by examining complex datasets to identify significant trends, correlations, and patterns.
• Extracted actionable insights that contributed to data-driven decision-making and strategic planning.
• Created detailed reports and visualizations to present findings effectively to managers and stakeholders.
• Applied statistical techniques and data modeling methods to enhance data reliability and accuracy in reporting.

B.Tech - Computer Science and Engineering - KIET GROUP OF INSTITUTIONS (2022-11 - 2026-07)