Real-time Python dashboard that unifies fragmented public fuel station data into a searchable operational interface for logistics workflows and end users.
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Updated
Sep 23, 2026 - Python
Real-time Python dashboard that unifies fragmented public fuel station data into a searchable operational interface for logistics workflows and end users.
📊 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
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.
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.
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