Freelancer profile translated to English.
Back to original languageAbout Yassine
🚀 Data Engineer / ML Engineer Freelance | GCP • Dataiku • Airflow • PySpark • Vertex AI • Tableau
💼 Freelance available – Data Engineering, Machine Learning & Data Analytics
🔍 About
Freelance Data Engineer & ML Engineer, I help companies design, industrialize, and leverage data.
I work across the entire data chain: ingestion, transformation, workflow automation, machine learning, and data visualization.
As an expert in Google Cloud Platform (GCP) and Dataiku, I develop scalable, automated, and business-performance-oriented solutions.
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🚀 Expertise
🔹 Data Engineering
•Data pipelines (ETL/ELT) – PySpark, Pandas, SQL
•Orchestration (Airflow, Dataiku)
•Data Lake / Data Warehouse
🔹 Cloud & GCP
•BigQuery, Cloud Storage
•Scalable cloud data architectures
🔹 Machine Learning & MLOps
•Supervised & unsupervised models
•Deployment with Dataiku & Vertex AI
•MLflow, monitoring & drift
🔹 Data Analytics & BI
•Tableau Dashboards
•KPIs & business analysis
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đź’» Stack
PySpark • Pandas • SQL • Airflow • Dataiku • Python • MLflow • GCP • BigQuery • Vertex AI • Tableau • Docker • FastAPI
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🎯 Added Value
âś” Dataiku + GCP Expertise (highly sought after)
âś” End-to-end approach
âś” Scalable and industrialized solutions
âś” Strong business ROI focus
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Can work on-site
Paris (up to 20km)
Experience
- Bouygues TelecomData Engineer/Analyst Consultant - FreelanceTELECOMMUNICATIONSJuly 2024 - Today (2 years and 1 month)VĂ©lizy-Villacoublay, FranceAs a freelance Data Engineer / Data Analyst within the Fixed Quality Cell (CQF) team, I am involved in developing data processing pipelines with Airflow and PySpark, as well as creating dashboards in Tableau Software for monitoring fixed network quality indicators.My role consists of designing and automating data preparation, cleaning, and aggregation pipelines, developing Airflow DAGs to orchestrate these processes, and implementing interactive dashboards that allow business teams to visualize and analyze network quality. I also lead workshops with business teams to gather their needs and adapt solutions accordingly.Missions and achievements:
- Development of data processing pipelines with PySpark
- Workflow orchestration via Airflow (DAGs)
- Design and development of dashboards in Tableau Software
- Leading workshops with business teams for defining needs and monitoring indicators
- Crédit Agricole SAData Scientist Consultant - AccentureBANKING AND INSURANCEApril 2022 - June 2024 (2 years and 3 months)Montrouge, FranceIn the context of combating money laundering (AML) in correspondent banking, I contributed to the implementation of risk detection features tailored to this domain. Specifically, I worked on training unsupervised models to identify suspicious transactions in compliance with AML regulations. Subsequently, I implemented continuous monitoring of the models to detect anomalies and track variations in their predictions, thereby strengthening risk detection capabilities.Missions and achievements:
- Data preparation and engineering using Thetaray, PySpark, and Pandas
- Training and versioning of unsupervised models with Thetaray, PySpark, and MLflow
- Implementation of a model performance monitoring system to ensure their reliability and effectiveness over time
- StoodingData Scientist/Engineer Consultant - Freelance - Fixed PriceCONSULTING AND AUDITSDecember 2024 - February 2025 (3 months)Paris, FranceAs part of a fixed-price project, I developed a machine learning model to recommend suitable fields of study to high school graduates based on their academic records and personal qualities. The objective was to automate and optimize student orientation by offering personalized suggestions based on their academic results and other relevant criteria.A part of the project involved extracting grades from PDF documents, which required developing a tool to convert PDFs into tables using Google Cloud Vision. This preprocessing ensured smooth integration of data into the machine learning pipeline.Missions and achievements:
- Extraction and structuring of academic grades from PDF files using Google Cloud Vision
- Data preparation and cleaning with Pandas
- Training and evaluation of the machine learning model for field recommendation (Scikit-Learn)
- Orchestration of data processing pipelines with Apache Airflow
- Containerization and deployment of the model via Docker
- Development of a FastAPI API to expose the model and enable its use by third-party applications
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Education
- Master in Data ScienceAix-Marseille University2021Grâce à ce master, j'ai pu développer des compétences solides en Data Science, acquérir une expertise approfondie dans l'analyse et l'interprétation des données, ainsi qu'une compréhension avancée des techniques d'analyse et de visualisation de données. J'ai également appris à utiliser des outils et des langages de programmation tels que Python et R pour manipuler et modéliser les données et Tableau pour les visualiser , ce qui me permet de fournir des solutions efficaces et innovantes dans le domaine de l'analyse de données.
- Professional Bachelor's Degree in Statistics, Business Intelligence, and Big DataAix-Marseille University2019Cette licence m'a apporté une solide formation dans les domaines de la statistique, de l'informatique décisionnelle et du Big Data. J'ai acquis une expertise dans l'analyse de données, la conception de bases de données et l'utilisation d'outils d'analyse avancée. Grâce à cette formation, j'ai développé les compétences nécessaires pour traiter et interpréter efficacement de vastes ensembles de données, afin d'aider les organisations à prendre des décisions éclairées.
Certifications
- Associate Cloud EngineerGoogle Cloud Platform2022
- Tableau Desktop SpecialistTableau2022