Explore and analyze your WhatsApp chat data effortlessly. Understand user behavior, communication patterns, and chat statistics. This Python-based tool provides insights for improving communication and enhancing user experience.

Unlock actionable insights from complex business data. Analyze customer behavior, sales trends, and company performance through SQL analytics. Empower decision-makers with data-driven recommendations to drive growth and profitability.

Dive into the world of Netflix user behavior through Exploratory Data Analysis (EDA). Extract insights from a Kaggle dataset using Python libraries like NumPy, Pandas, Seaborn, and Matplotlib. Discover user preferences, viewing patterns, and content trends to enhance content creation and user experience.

Developed a recommendation model for restaurant owners in Bangalore. Leveraged Python for data cleaning, analysis, and visualization using libraries like NumPy, Pandas, Seaborn, and Matplotlib. Utilized machine learning algorithms like RandomForestRegressor and GradientBoostingRegressor to predict preferred prices and suggest suitable locations based on cuisine and price, providing valuable insights for restaurant businesses.