Data Analysis Project using Python(Data Cleaning and manipulation - Numpy, Pandas; Data Visualization - Seaborn, matplotlib) The notebook includes code for:

1. Cleaning the dataset - finding the missing values and imputing them with mean/median/mode.
2. Finding the duplicates and removing them.
3. Converting the datatypes accordingly.
4. Finding the statistical summary of the dataset and insights drawn from it.
5. Performing the Explanatory Data Analysis (EDA) - Univariate, Bivariate and Multivariate Analysis.
6. Finding the outliers and imputing/removing them without the loss of data.
7. Customer Profiling and Insights and Business recommendations.