OEAbout 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.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- TDFData EngineerOctober 2024 - Today (1 year and 8 months)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 EngineerJanuary 2024 - September 2024 (8 months)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 ScoringOctober 2023 - March 2024 (5 months)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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Education
- 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 -