Natarajan Ramalingam

Processed and cleaned structured & unstructured datasets, improving data quality and analysis accuracy. Performed EDA (Exploratory Data Analysis) to uncover trends, correlations, and patterns that informed decision-making. Built an Emotion Detection model (using text, images, and real-time data) that demonstrated the power of ML classification in applied scenarios. Developed a Movie Recommendation System using machine learning that improved content personalization. Explored emerging data tools & frameworks,

Designed a Healthcare Decision-Making Dashboard in Power BI by analyzing 10,000+ medical records to extract actionable insights. Delivered interactive visualizations that helped stakeholders identify key healthcare trends and solve data-driven problems. Strengthened expertise in Data Visualization, Power BI, and Data Analytics through hands-on project implementation.

Thesis: AI-Powered Spoilage Detection System (YOLO + IoT)