This is an interactive web application built using Streamlit and Pandas Profiling that allows users to perform data analysis on large CSV files with just one click.

🤖 DataWhisper is a system that translates natural language queries into SQL using an intelligent agent-based architecture. These agents work together to identify the relevant tables, generate SQL queries, execute the queries, and ultimately provide insights. It can be used with large-scale databases.

Developed a Streamlit application for analyzing transactions and user data from the Pulse dataset. Explored data insights on states, years, quarters, districts, transaction types, and brands through EDA. Visualized trends and patterns using plots and charts to optimize decision-making in the Fintech industry.

We've noticed a bit of traffic already on our repo this project is still new, please star / fork this repo or check out our #readme file to keep up with changes. Thank you.

Automated Data Scientist: An intelligent, adaptive data analysis tool that leverages AI-driven automation to dynamically plan, execute, and refine data science workflows. Automatically handles data preparation, analysis planning, code generation, and result interpretation using advanced language models.

Explore how to leverage YouTube Analytics and Reporting APIs to gain in-depth insights and automate reporting. Check out the full guide and practical examples in this article.

This project facilitates users to retrieve PhonePe transaction and user data, store it in a MySQL database. Subsequently, the stored data is visualized in a Streamlit web application using Plotly and Pandas DataFrame.