Summary
Amal Hasni is a Senior Data Scientist based in Greater Paris with five years of experience building NLP and Generative AI solutions into production-grade workflows. At Allianz France she focuses on reducing churn and improving post-claim satisfaction by designing robust PySpark data pipelines, Luigi-managed orchestration, and machine learning models tied to business outcomes. Her background at Deloitte includes practical deployments of HR chatbots, skill extraction using information‑extraction NLP, and end-to-end automation—skills she also writes about on her data science blog. Trained as an engineer at ENSTA ParisTech with early research in reinforcement learning and visual curiosity, she blends rigorous research instincts with pragmatic product delivery. Colleagues value her ability to translate complex technical findings into actionable recommendations for non‑technical stakeholders.
5 years of coding experience
3 years of employment as a software developer
Physics - Chemistry, Physics - Chemistry at IPEST - Preparatory Institute for Scientific and Technical Studies
Engineer's degree, Engineering, Engineer's degree, Engineering at ENSTA ParisTech - École Nationale Supérieure de Techniques Avancées
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Lycée Pilote de l'Ariana (LPA)
Arabic, French, Spanish, German, English