I Scraped data from Housing.com using Selenium and Beautiful Soup. Cleaned and preprocessed the data, Conducted univariate, bivariate, and exploratory data analysis to get insights. Created a webpage and divided this project into three sections: Analysis section, flat prediction, and recommendation.

Library used: Selenium, plotly, scipy, Numpy, Pandas, Sk-Learn, Streamlit.

Developed a Flask-based web application to provide users with powerful text analysis tools. To analyze the text I have used API of paralleldots. Implemented secure user registration and login functionalities to ensure access control. User information is stored in a MySQL database. Given three services: NER, Sentiment Analysis, and Abuse Detection.

Library used: Numpy, Pandas, flask, html, mysql.connector.

In this project I created a webpage using Streamlit to show information about flights. Stored the data in MYSQL and connected with Python using mysql.connector. Writing the queries according to what the user selected on the webpage, fetching the data from MySQL, making plots, and showing the information to the user.

Library used: Numpy, Pandas, mysql.connector.

This is IPL API service app developed using Flask to provide information and statistics for IPL teams. Created a registration and login form using HTML and stored the data of users in a JSON file for authentication. Created 6 APIs like team VS team, batter, and bowler. Demonstrated the API within the app.

Library used: Numpy, Pandas, HTML, Flask.

Developed an interactive dashboard using Streamlit to provide insights about the startup ecosystem. The dashboard is divided into three sections: overall analysis providing overall analysis of the dataset, startup section to provide information about the startup, and investor section to provide information about investors.

Library used: Numpy, Pandas, Streamlit, seaborn, matplotlib.

I Scraped data from Flipkart using Beautiful Soup. Cleaned and preprocessed the data using Pandas for analysis. Done EDA to get insights. Developed a linear regression model for price prediction. Created a user-friendly web application using Streamlit.

Library used: Numpy, Pandas, matplotlib, Sk-Learn, Streamlit.

This is a billionaire dashboard created using Streamlit to get information about the billionaires. Created sections for country-wise analysis, overall analysis, and key insights.

Library used: Pandas, Plotly, Streamlit

Developed an interactive data visualization dashboard using Streamlit, focusing on the 2011 Indian Census. Divided the dashboard into three sections: Demographic Analysis, Geographical Insights, and Socio-Economic Indicators.

Library used: Pandas, Plotly, Streamlit

Made many PowerBI dashboards. Sales dashboard to analyze profit. My expense dashboard to analyze where I spend more. Made a Credit card report to analyze profit of credit card company. HR Analytics and E-commerce dashboard.