Maria Ben abdoulwahid

Skills: Python · Data Analysis · Risk Management · Machine Learning

• Analyzed data and helped the company make decisions based on findings • Served as a thoughtful advisor, working with Risk, Finance and Marketing professionals • Built predictive models using machine learning tools to predict the credit score • Performed exploratory data analysis and discovered notable relationships • Tracked performance and identified business improvement trends • Analyzed and produced KPI reports for the management and investors

Developing a data-driven credit risk model to predict the probabilities of default (PD) and assign credit scores to existing or potential borrowers: Migration from SAS to Python. Extraction of data from a website (Web scraping). Implementing a model using Machine Learning (Logistic regression, Random forest, SVM..)

Implementing an effective stress testing program for risk management: Training a non linear regression model using different optimization algorithms and methods ( genetic algorithm, simulated annealing..) Building interactive web application with R shiny.

Combining RFM model and clustering techniques for banking customer segmentation: Applying RFM (recency, frequency, and monetary) analysis. Implementing clustering models (K-means & PAM). Checking the clusters based on the calculation of Silhouette Coefficient.