Description

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).

Domaines d’expertise

Langues

Anglais
Bilingue ou natif
Français
Bilingue ou natif

Préférences en matière de lieu de travail

Accepte de travailler sur site

Genève (jusqu’à 50 km), Lausanne (jusqu’à 50 km), Zurich (jusqu’à 50 km), Bâle (jusqu’à 50 km)

MAIF
Senior Data Scientist
BANQUE & ASSURANCES
janvier 2025 - mai 2025 (4 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
ORANGE
Senior Data Scientist
TÉLÉCOMMUNICATIONS
février 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 Paris
Data Scientist
AUTOMOBILE
février 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