Mohamed Amine Benatmane Email & Phone Number

Algeria

Managing "Data Driven & IA" Program of several transversal projects mostly in Data Science & BI:- Strategize, implement, and maintain program initiatives that adhere to organizational objectives and company strategy- Daily program management throughout the program life cycle- Reporting on program status and performance to executive team and directors- Definition of project scopes in collaboration with the Project Managers.- Planning the overall program and monitoring its progress- Coordinate and prioritize resources across projects- Identifying, analyzing and managing the Risks and Issues of the program through a mitigation plan (Risk/Issues Management)- Work with other program managers to identify risks and opportunities across multiple projects within the department- Managing stakeholders’ communication by promoting Data driven initiatives and Data Driven Culture;

Algeria

- Conducting deep dive analysis to understand a specific phenomenon or to study the business impact of a marketing campaign, network action or the launch of a new product in order to support the business and technology departments to better drive decision and action making.- DjezzyApp Analytics (Click-Path Analysis, Attribution Analysis, Behavioral Segmentation) using analytics and ML techniques.- Customer Behavioral Segmentation Models- Network Analytics & Predictive Models- Sales Analytics & Predictive Models

Algiers, Algeria

Data Scientist at Cevital Group R&D Lab: - Big Data & Data Science Capability Building within the group. - Participating in the establishment of technological roadmaps for the development of data driven products.- Supporting engineering and strategic planning & Product development departments to better drive decision making by conducting advanced analysis- Training, Optimizing and deploying machine learning models in production using Open Source technologies (Scikit-learn, Pandas, Spark, NLTK and Tensorflow for modeling Flask, uWSGI, Celery, Redis Elasticsearch for deployment)- Monitoring machine learning models in production in order to address Training-Serving Skew & Concept Drift before negatively impacting business decisions & outcomes using Open source technologies (Grafana, Prometheus)- Designing, developing and deploying End-to-end Data Products using big data platforms and Open Sources technologies (Hadoop, Spark, ELK Stack, Kafka).

Algiers, Algeria

Producing and Deploying scalable predictive Machine learning Models into production.

Algiers, Algeria

Design and implementation of an XML Firewall for securing (detection and prevention) platforms based on SOAP web services from XML-based attacks, using Machine Learning Algorithms & stacking Machine Learning models for improved predictions.

Computer Science Engineer Degree, Computer Science

Master Of Research Degree, Computer Science

Mathematics Baccalaureate Degree, Mathematics