Freelancer profile translated to English.
Back to original languageAbout Soukayna
Hi! I am aTech Lead Data Scientistwith10 years of experienceinDataandMachine Learningprojects.
I am here to support you at every stage of your ML model lifecycle:
- 🎯 Needs Framing
- 📥 Data Retrieval
- 🔍 Data Exploration and Analysis
- 🤖 ML Algorithm Implementation
- 🧪 Model Testing, Validation, and Tuning
- 📊 Monitoring / Model Drift
- 🚀Industrialization and Production Deployment
What I offer:
- 💼 Support on complete Data projects
- 📊 ML pipeline creation and MLOps solution implementation (MLflow...)
- 🚀 **Productionization and Deployment of ML Models**: You have a model, I will industrialize and deploy it effectively.
- ⚡ Optimization and industrialization of your ML/AI solutions
- 🎓 Training and consulting on best practices
- 🔧 Clean Code & Coding Best Practices implementation, code optimization for faster, scalable, and maintainable solutions.
Tech Stack:
- Python/R
- BigData/ 💥 Spark/ Hadoop /Hive
- SQL, Oracle, Teradata
- ☁️ GCP: BigQuery, CloudRun, VertexAI Studio, VertexAI Pipelines, GCE
- 🐳 Docker, Git, Terraform, github CICD, jenkins, FastAPI
- 📊 PowerBI, RShiny
- 🧰 MLflow, Kubeflow
- 🧠 Deep Learning: TensorFlow, Keras
- ⚡ Machine Learning: scikit-learn, XGBoost, LightGBM
- Scrum
My Mantra:
"Models that sleep in a notebook are worthless. Let's deploy them and see what they're made of!"
Feel free tocontact me📩, I will be happy to assist you in all your Data projects.
French
Native or bilingual
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- OPENCLASSROOMSMentor Machine Learning Engineer Data Scientist/AI ProgramEDUCATION AND E-LEARNINGMarch 2025 - Today (1 year and 3 months)I mentor students in the Data Scientist Machine Learning Program, covering various topics like statistics, Machine Learning, MLOps, AI...
- ConfidentielTech Lead Data ScientistCONSULTING AND AUDITSApril 2023 - Today (3 years and 2 months)Paris, France
- Built end-to-end MLOps pipelines with Vertex AI, utilizing BigQuery, Custom trainings and Cloud Storage integrations, improving model iteration and deployment speed.
- Modeling with xgboost
- Training and experiment tracking with MLflow
- develop, test, deploy ML solutions
- Clean code, unit testing and CICD
- provisioning GCP resources with terraform
- Spark job optimizations
- EDF CommerceSenior Data ScientistENERGY AND UTILITIESOctober 2020 - December 2022 (2 years and 2 months)Paris, France
- Designing and implementing pipelines for extraction, cleaning, and creating performance KPIs from media and advertising campaigns.
- Migrating scripts from R/Hive to Python/Pyspark.
- Automating and optimizing Big Data processing pipelines, reducing processing time by 55% (parallelization and scalability).
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Education
- Master of Statistics and EconometricsUniversity of Quebec at Montreal
Certifications
- Machine Learning DevOps EngineerUdacity2023
- Scrum MasterScrum2022