Summary
Amal Targhi is a Data Delivery Manager with nine years’ experience turning complex, structured and unstructured data into actionable business insights across industries including transportation, consumer goods, finance and cloud services. She blends strong machine learning and deep learning expertise with hands-on data engineering — building ETL/ELT pipelines, CI/CD workflows and productionized models on Azure, Databricks and Snowflake. Her career highlights include fraud detection in real-time banking systems, ad ROI analytics at Pernod Ricard and recommendation engines for Docaposte, demonstrating a rare ability to take experiments from prototyping to scalable production. Comfortable in Python, Scala and PySpark and familiar with tools from scikit-learn to H2O and TensorFlow, she pairs statistical rigor with pragmatic engineering. Always keen to adopt new technologies, she seeks roles that combine technical challenges with high product value.
9 years of coding experience
5 years of employment as a software developer
licence sciences mathématiques et informatique, licence sciences mathématiques et informatique at faculté des sciences de tetouan
master2 Systèmes d'information Réseaux et multimedia, master2 Systèmes d'information Réseaux et multimedia at Faculté des sciences dhar Mahraz FES/MAROC
Master 2 (M2) Aic Appretissage Information Contenu, Master 2 (M2) Aic Appretissage Information Contenu at Université Paris-Saclay
French, Arabic, English, Spanish