Freelancer profile translated to English.
Back to original languageAbout Halima
Data Scientist & Machine Learning Engineer graduated from Centrale Méditerranée, I design and deploy end-to-end AI solutions: from data analysis to model industrialization on the cloud (GCP/AWS).
I have worked on high-impact projects in forecasting, segmentation, anomaly detection, and optimization, notably at Groupe Atlantic and Locala. I master the entire ML lifecycle: feature engineering, training, deployment (Vertex AI, Cloud Functions), monitoring, and MLOps.
🎯 I can intervene on:
Predictive modeling & time series
Customer clustering & segmentation
Data & ML pipelines on GCP/AWS
FastAPI / Streamlit Deployment
Industrialization (Docker, MLflow, CI/CD)
I am available for freelance missions in Data Science, Machine Learning, Data Engineering, and Data Analysis.
English
Native or bilingual
French
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- Groupe AtlanticData Scientist/ Machine Learning EngineerJanuary 2023 - November 2025 (2 years and 10 months)Nantes, France• Design and deployment of a complete machine learning pipeline on GCP (BigQuery, Cloud Functions, Vertex AI): Ingestion, feature engineering, training, evaluation, and model deployment.• Development of forecasting models (regression, time series) achieving 93% accuracy in predicting work accidents.• Implementation of a K-Means clustering model to identify at-risk suppliers, improving corrective efficiency by 30%.• Creation of a FastAPI / Streamlit interface for critical rejection monitoring, increasing productivity by 25%.• Industrialization and monitoring of the ML pipeline using GitLab and Cloud Functions.
- LocalaData ScientistDecember 2023 - May 2024 (5 months)Marseille, France• Design of a complete unsupervised segmentation pipeline for advertising panels using geospatial and socio-demographic data (OpenStreetMap, Data Sud).• Development and comparison of unsupervised clustering models (K-Means, DBSCAN, Affinity Propagation) with hyperparameter optimization.• Exploitation of results to improve marketing campaign efficiency by 30%.
- CNRSData ScientistJune 2023 - August 2023 (2 months)Marseille, France• Development of machine learning models for automatic detection of sickle cell disease, a genetic disorder affecting red blood cell morphology.• Implementation of a recurrent neural network (RNN) for automatic analysis of red blood cell structure, reducing processing time by 24%.
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Education
- Data EngineerCentrale Méditerranée (Ex-Centrale Marseille)2024Ingénieur en Data
- Computer EngineeringInternational Academy of Civil Aviation2022Ingénieur en informatique