📊 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

This project integrates stock market analysis, tweet sentiment analysis, and stock price forecasting using ARIMA and GRU. It fetches data from MySQL, MongoDB, and streams via Kafka. YCSB benchmarks MySQL and MongoDB performance. The system predicts stock prices and analyzes public sentiment.

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.

Practice and guided data analysis projects focused on applied learning, dashboard development, and data storytelling

An interactive Power BI dashboard project focused on BMW car sales. It showcases dynamic time intelligence, revenue insights, and high-level executive visuals powered by advanced DAX measures. Designed to deliver clear, actionable insights for data-driven decisions.

End-to-end campaign analytics project with EDA, statistical testing, recall-optimized modeling, SHAP interpretability, and an interactive Plotly Dash dashboard using the UCI Bank Marketing dataset.

This repository contains a full-stack application designed to explore data from ElasticSearch🧐indices and visualize it using charts and graphs. The backend is built using Node.js and the frontend is powered🚀 by React.

Developed an interactive Power BI dashboard by integrating transaction and customer data from a SQL database to provide real-time insights. Streamlined data processing to monitor key performance metrics and trends, sharing actionable insights with stakeholders to support data-driven decision-making.

I conducted an extensive analysis of Disney movies using Power BI, creating interactive dashboards to explore revenue trends, genre profitability, top-grossing films, and the impact of MPAA ratings. This project enhanced my data analysis, visualization, and storytelling skills, showcasing my ability to leverage Power BI for impactful data-driven in

This repository analyzes Chicago crime data to uncover patterns, hotspots, and trends. Using Python for preprocessing and Tableau Public for visualization, the project delivers actionable insights to support policymakers, researchers, and law enforcement in enhancing public safety.