The main goal of this project was creating an exploratory data analysis of a set of data provided by Al Omrane Company which will helped me to check missing data and others errors. Gain maximum insight into the dataset and its underlying structure etc In addition to this, I was able to create analytical dashboards which were generally designed to help decision makers, to establish and set objectives and to understand what happened and why something happened and with the same information they can use them to implement appropriate changes.

In brief, the tasks were as the following:
- Data preprocessing, correction and cleaning.
- Imputation of missing values.
- Creation of exploratory data analysis reports.
- Creation of a Power BI Dashboard.
- Creation of a web interface with authentication to check the different EDA reports.
- Creation of different machine learning models which predict the unit prices of Al Omrane products using different algorithms (Random Forest, Adaboost, GradientBoosting, Extra Trees Regressor).