Student's Dropout Prediction
Melek Amine Toukebri
Data Scientist
Data Visualizer
Data Analyst
Microsoft Excel
Microsoft Power BI
Python
ESPRIT
● Prepared data for analysis using initial data cleaning and organization techniques.
● Designed and developed a data warehouse for efficient data storage and management.
● Applied data mining techniques following the CRISP-DM methodology to identify patterns and
predict student dropouts.
● Created interactive dashboards to visualize data insights and prediction results.
● Developed a web-based tracking application for real-time monitoring and reporting of dropout predictions.
Used Technologies : Microsoft Excel, Python, Talend Open Studio, Power BI Desktop, Streamlit
