Projects

Developed a machine learning model to predict taxi fares using a dataset of historical trip data incorporating features such as trip distance, time, and weather conditions, leading to a significant improvement in fare estimation accuracy. 

This project performs NLP-based text analysis on articles extracted from URLs. It calculates sentiment scores, readability metrics, word complexity, and other linguistic features using Python, NLTK, BeautifulSoup, and Pandas. The results are processed and exported to an Excel file for further insights.

Leveraged SQL to analyze OLA ride data, ensuring data accuracy through efficient ETL processes. Designed an interactive Power BI dashboard to visualize critical metrics such as cancellations, revenue trends, and driver ratings. 

Developed an innovative hand gesture-based presentation controller to enhance presentation delivery by enabling seamless control through intuitive movements, significantly improving efficiency and reducing manual efforts. 

Developed an interactive Power BI dashboard utilizing transaction and customer data from a SQL database to deliver real-time insights for data-driven decision-making. 

Conducted a comprehensive analysis of Big Mart sales data using Python to identify key factors influencing sales performance. Applied statistical techniques and data visualization to uncover trends, optimize inventory management, and provide actionable insights for improving business strategies. 

Developed a customer segmentation model using Python to analyze and group customers based on purchasing behavior and demographic attributes. Leveraged techniques such as clustering and data visualization.