* Using python c#, vb.net :
1- Starting from Web scraping to API integration and gathering data from any format.
2- visually and programmatically assess the gathered data and collect all the issues regarding the quality and tidiness of the data.
3- Clean the data from all the found issues (quality or tidiness) and then prepare the dataset for further predictive analysis if needed.
* using SQL and pl/SQL :
- Manage various database development tasks as I write fluently complex SQL statements, so I could deal with most of the common database engines(Oracle, SQL Server, SQLite ..) and integrate them into data analysis projects