OEÀ propos de Omar
Confirmed Data Engineer with experience in data pipeline development, data analytics, and machine learning. Skilled in Python, SQL, Spark, and Kafka, with hands-on experience in data transformation, migration, and business intelligence. Passionate about leveraging big data and AI-driven solutions to optimize decision-making
🚀 Core Skills:
- Data Engineering & ETL: Build and optimize data pipelines for efficient data processing and transformation.
- Data Analytics & Business Intelligence: Extract, clean, and analyze large datasets using SQL, Pandas, and Power BI.
- Machine Learning & AI: Develop predictive models for r insights using Scikit-learn, and TensorFlow.
- Big Data & Cloud Technologies: Experience with Spark, Kafka, GitLab, and cloud-based ETL solutions.
- Agile & SAFe Frameworks: Work in two-week sprints, collaborating with Product Owners and participating in PI planning and roadmap development.
With a strong academic background from Ecole Centrale & ENSAE Paris, I am eager to contribute my skills in data engineering, analytics, and machine learning to innovative projects.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- TDFData Engineeroctobre 2024 - Aujourd'hui (1 an et 8 mois)Montrouge, France
- Develop data pipelines for data quality, migration, transformation and reconciliation; Clean, transform, process data using Python (Pandas, Spark); Automate and optimize data workflows and extraction (Spark, Kafka, Rest API, SQL); Develop data visualization tools (Plotly, Matplotlib, Seaborn); Collaborate with teams (Gitlab, Jira)
- Understand data business challenges; Collaborate with the Product Owner to refine user stories; Participate in PI planning and sprint planning in a SAFe Agile environment.
- La Banque PostaleData Analytics Engineerjanvier 2024 - septembre 2024 (8 mois)Paris, France
- Perform data extraction from the Risk and Finance databases using SQL; Clean and prepare data using Python and Pandas.
- Analyze data using Python, Pandas, and Excel; Automate data analysis workflows on Dataiku; Summarize results using PowerBI.
- Junior Entreprise Centrale CasablancaData Scientist in Marketing and Customer Churn Scoringoctobre 2023 - mars 2024 (5 mois)Paris, France
- Identify churn drivers through data analysis using Python, statistics, matplotlib, machine learning, seaborn, Jupyterlab
- Develop churn prediction models with Explainable drivers (XAI) to help advisors understand and address churn reasons.
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Formations
- Exchange Year of Engineering Training in Data Science, Statistics & Machine learningENSAE Paris – Institut Polytechnique de Paris2023Exchange Year of Engineering Training in Data Science, Statistics & Machine learning
- Master of EngineeringCentraleSupélec Campus Casablanca2023Master's Degree General Engineering -