Nawres Mhedhbi

Key Responsibilities: • Build ETL pipelines using Python and Airflow • Prepare data for prescriptive and predictive modeling • Build algorithms and prototypes • Combine raw information from different sources • Explore ways to enhance data quality and reliability • Identify opportunities for data acquisition • Collaborate with data scientists and architects on several projects

Mission : Study of customer segmentation factors and classification of money laundering indicators to improve anti-money laundering risk models Key words: Python, Data Analysis, Factor Analysis, H2O AutoML, Talend, PostgreSQL, PowerBI, Bayesian Network.

In the context of the Orange Summer Challenge 2020 in partnership with Google and GIZ, I made part of a team of 7 engineers, developing an intelligent companion robot for autistic kids to help them easily integrate into the real world. Mission: Implement of the intelligent features of the robot During the brainstorming, ideation and the prototyping phases we took many trainings as listed below: • Google trainings: Design Thinking, Machine Learning, Cybersecurity, Flutter, Digital Marketing • Orange trainings: Design Thinking, Personal Branding, Communication Skills, Stress Management, Git, Public Speaking Key Words: Python, Object detection, TesnorFlow , TensorFlow Lite , MobileNet, OpenCV, Image Processing, Web Streaming

Mission : Implementation of a human resources recommendation system that enables to classify and evaluate LinkedIn profiles from a CVs database Key words: Python , MongoDB , Beautiful Soup, Machine learning , Django, Web scraping

Mission: Building a from scratch website for EL FABSPACE EL SPACE is the first social innovation hub in Tunisia, I had the chance to learn more about social innovation and social entrepreneurship Key words: HTML, CSS, JavaScript, Bootstrap, WordPress

• Adapt to the banking sector • Processing of administrative operations