Compétences
Domaines d’expertise
Mahmoud en quelques mots
Summary
I am a Ph.D data scientist with 9 years experience during which I worked on many projects in multiple domains (IOT, telecom, medical, automotive, retail, research). I have technical expertise in artificial intelligence and I am a certified Professional Machine Learning Engineer from Google Cloud Platform (GCP).
Expériences
- MAIFSenior Data ScientistBANQUE & ASSURANCESjanvier 2025 - avril 2025 (3 mois)79000 Niort, France
Segmentation and creation of MAIF clients profiles
- Extracted and prepared data processing pipelines for modeling using SQLAlchemy from a PostgreSQL database.
- Analyzed client data to optimize marketing insights based on interactions with MAIF (via surveys received by mail or phone calls).
- Integrated appetence scores to enhance client profiling.
- Built clustering models tailored to business needs.
- Collaborated with business teams to understand their requirements and deliver actionable insights.
Technical Stack: Clustering, Classification, Python, PostgreSQL, SQLAlchemy - ORANGESenior Data ScientistTÉLÉCOMMUNICATIONSfévrier 2022 - juillet 2024 (2 ans et 5 mois)Paris, France
Smart CAPEX Project: Using machine learning algorithms to optimize CAPEX investments for Orange subsidiaries in Egypt, Morocco, and Ivory Coast
- Analyzing mobile network data in collaboration with different business teams to understand requirements.
- Forecasting data/voice traffic and congestion detection across 2G/3G/4G sites.
- Analyzing socio-economic data (population, GDP, etc.) to identify the most profitable locations for new tele com sites.
- Building customer churn prediction models for sites.
- Conducting economic assessment of model outputs in terms of net present value NPV.
- Implementing unit tests, end-to-end tests, and CI/CD pipelines (GitLab) for data processing, model develop ment, and evaluation.
- Maintaining models throughout different project phases.
Technical Stack: Time Series, Regression, Python, Spark, Scala, MySQL, GCP, GitLab, CI/CD, Docker - Institut Polytechnique de Paris / Telecom ParisData ScientistAUTOMOBILEfévrier 2021 - septembre 2021 (7 mois)Paris, France
Analysis and detection of motion sickness in vehicles (with Stellantis-PSA)
- Processing physiological signals using multiple techniques depending on the signal type (ECG, EDA, Respira tion).
- Processing vehicle data (acceleration, speed, etc.).
- Building algorithms for anomaly detection in time-series signals related to driving.
- Developing algorithms for detecting motion sickness and predicting its severity.
Technical Stack: Anomaly Detection, Regression, Python
Recommandations externes
Formations
- PhDUniversity of Lille2018machine learning
- Master degreeUniversity of Technology of Compiègne2015
Certifications
- Professional machine learning engineer GCPGoogle2024