À propos de Ismail
I help companies transform raw and messy data into clean, structured datasets and build machine learning pipelines for prediction and decision-making.
I specialize in tabular data (customer data, financial data, operational data) and deliver end-to-end solutions: data cleaning, feature engineering, model building, and deployment on AWS.
My goal is simple: turn your data into something usable and valuable as quickly as possible.
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- ThemisonMachine Learning Engineer – Clinical DataSECTEUR MÉDICALjuillet 2024 - Aujourd'hui (1 an et 11 mois)Copenhagen, DenmarkPrepared and processed clinical and behavioral datasets for predictive modeling in clinical trials.Built patient risk segmentation models using K-Means, GMM, and DBSCAN to identify early dropout patterns.Designed and deployed a real-time monitoring system with automated interventions to reduce patient dropout.Performed cluster analysis and data visualization, contributing to a 22% reduction in dropout rate.Ensured compliance with GDPR and HIPAA standards for sensitive patient data handling.
- KeyrusData Analyst / Machine Learning Intern – Customer RetentionRESSOURCES HUMAINESmars 2022 - septembre 2022 (6 mois)Levallois-Perret, FranceAnalyzed business requirements to understand customer retention challenges and existing manual processes.Collected and consolidated data from multiple sources to build structured and usable datasets.Cleaned and transformed raw data to prepare it for statistical analysis and machine learning models.Built and evaluated predictive models including Logistic Regression, Decision Trees, Random Forest, SVM, and K-Means.Delivered insights to support customer retention strategies and improve decision-making.
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Formations
- INGÉNIEUR EN SYSTÈMES UBIQUITAIRES ET DISTRIBUÉSLYCÉE HASSAN II2022INGÉNIEUR EN SYSTÈMES UBIQUITAIRES ET DISTRIBUÉS
- Solutions Architect – AssociateAWSSolutions Architect – Associate