Hassan HADDA

Linguistic item classification: Built an NLP and IA-based app to automatically classify words and sentences by CEFR A1...C2 levels. Ensured the quality of DELF DALF exams (French language tests) by analyzing test items and coordinating validation committees. Collaborated with multidisciplinary teams to validate and distribute assessment tools. Developed a platform to optimize session management and data visualization. Led validation committees to discuss analysis results. Contributed to the establishment of quality standards by conducting in-depth data analyses to ensure the reliability of certification results for DELF DALF, TCF, and Evalang (assessment of English proficiency for high school students). built an NLP tool that tags words by CEFR level (A1-C2). Pulled SQL Server, Excel and Azure data into a star schema and shipped interactive Power BI reports, replacing manual Excel updates.

Identification of clients vulnerable to phishing fraud through anomaly detection and supervised classification. Development of dashboards and statistical analyses. Joined BigQuery and other resources feeds with Power Query and delivered two key Power BI dashboards. Detected multi-banked customers and pushed a Power BI

Collaborate closely with Artive's research and development team to create a high-performance Chatbot using NLP and deep learning models. Data visualization platform. Performed data preprocessing and feature engineering to improve model accuracy. Optimised SQL queries and Talend ETL pipelines; nightly loads ran 40 % faster. Produced interactive HR-survey and news-monitoring dashboards that surfaced key engagement and market insights.

Detection of cabins, contours, and various components in an aircraft layout. Computation of distances between components within the cabin using Machine Learning and OpenCV. (Python, Git, ML)

Student survey analysis and implement a study based on student groups to find out which carreer path students take during their studies at Paul Sabatier University.