Nehaila KASSABI

- Data Driven Network Optimization: Cleaning the client’s data and analysis it with R, then use this data to optimize the supply chain network using LLamasoft software. - Elaborate a mathematical model to optimize the logistics network similarly to Log Hub. - Dynamic maps and costs visualization of the optimal solutions with Tableau. - Inventory simulation.

- Using time series analysis to forecast the demand of the phosphate in order to determine the number of trains to circulate per day. - Elaborate and implement a mathematical model in CPLEX in order to optimize transportation plan for the phosphate trains in the northern axis of Morocco.

- Elaboration of a predictive model for supplier risk scoring using logistic regression, discriminant analysis and neural networks with R and SPSS. Validation of the methods and quality evaluation of the predictions using statistical tests. - Elaboration of an automatization tool for the classification methods using VBA-Excel.

- Elaboration of a predictive model for supplier risk scoring using logistic regression, discriminant analysis and neural networks with R and SPSS. Validation of the methods and quality evaluation of the predictions using statistical tests. - Elaboration of an automatization tool for the classification methods using VBA-Excel.