📊 Developed an interactive Flight Delay Statistics Dashboard using Python, Dash, Plotly, and Pandas to analyze U.S. airline delays (2010–2020). Designed a dark-themed, responsive app with real-time insights across delay causes. Highlights my data visualization, EDA, and dashboarding skills

Real-time Python dashboard that unifies fragmented public fuel station data into a searchable operational interface for logistics workflows and end users.

Digital platforms today need more than static dashboards, they require adaptive systems that continuously learn from user activity. This project develops a behavioural intelligence framework that dynamically groups interaction patterns, surfaces critical risk indicators, and enables strategic actions to influence experience outcomes.

AI-Powered Personal Expense Analyser: Developed an interactive dashboard using Python and Streamlit to analyze spending behavior, visualize expense trends, detect anomalies, and generate AI-driven financial recommendations from transaction data.

Covid-19 Analysis is a data-driven project that explores COVID-19’s global and country-wise impact. It features an interactive Dash-based dashboard for visualizing cases, deaths, vaccinations, policies, and mobility trends. Using machine learning, it provides 30-day forecasts and clustering insights. Built with Python, Dash, and Plotly.