Nawres Mhedhbi

- Studied, analyzed the risk factors used in the risk calculation. - Improved AML risk models performance in predictions and score calculation time by 15% by finding the key pertinent factors by applying Factor Analysis and predicting the missing financial information of the clients. - Managed to automate the search of the pertinent segmentation factors by developing a pipeline that automates the task of applying Factor Analysis and perform predictions - Deployed the solution using Tkinter.

Developing a serious gaming console for children with autism spectrum disorder to ease their integration into the real world and help maintain their treatment at home. - Implemented a Custom Object Detection Model using Tensorflow, Face Recognition System, Emotion Identification Model, Color and Shape recognition system using OpenCV and Deployed them on a Raspberry pi 4. - Converted the data collected from the mobile app into actionable insights.

Implementation of a human resources recommendation system that enables to classify and evaluate LinkedIn profiles from a CVs database. -Implemented a web crawler using Selenium to update data from LinkedIn. - Added new features: using NLP to extract skills, sentiment analysis to check companies reputation, scrapping from google to verify current location. - Data modeling in which a personalized model is implemented and evaluated. - Data visualization and deployment using Django.

This master's degree allows to train Data Scientists that are particularly suited to insurance issues. Link: https://actuariat-lemans.fr/2019/01/12/data-scientist/

Majoring in Data Science.