Asma Daoud

Asma DAoud is a Senior Data Scientist at Openvalue, with a strong background in machine learning and data analysis across various industries. At Openvalue, Asma developed a machine learning model for anomaly detection in credit card transactions using Scala, R, Spark, and Kafka. Previous roles include consulting for Christian Dior Couture, where Asma focused on business issue identification and product recommendation model maintenance, utilizing Dataiku and Python. Other notable experiences include conducting sentiment analysis at Klesia, social media commentary analysis at Covea, and Azure Data Lake setup at AFFLELOU Groupe. Asma also has experience in product return prediction modeling for Fnac and optimizing financial transaction risk models for Société Générale. Asma holds an engineering degree in computer science from Ecole Supérieure Privée d'Ingénierie et de Technologies.