Freelancer profile translated to English.
Back to original languageAbout Saad
Portfolio : saadyaqine.com
Data Scientist & ML Engineer specializing in NLP/LLM/RAG and MLOps - Immediately available
I assist SMEs, startups, and large corporations in intelligently automating their data and deploying productive AI solutions. Clear deliverables, fluid communication, measurable results.
🎯 Key Expertise:
• Chatbots & Conversational AI: RAG, LLM (GPT, Claude, Llama), LangChain, sentiment analysis
• Machine Learning: classification, prediction, clustering, time series
• Advanced NLP: natural language processing, entity extraction, embeddings
• MLOps & Deployment: FastAPI/Flask API, Docker, CI/CD, Azure ML, AWS SageMaker
• Data Engineering: ETL, PySpark, SQL, data cleaning and structuring
• Dashboards & BI: Power BI, Tableau, Streamlit, interactive visualizations
🔧 Technical Stack:
Python (Pandas, Scikit-learn, PyTorch, LangChain, Spacy, Transformers), SQL, R
Cloud: Azure (certified DP-100), AWS
MLOps: Docker, FastAPI, GitHub Actions, Azure ML, Dataiku
BI: Power BI, Tableau, Streamlit, Advanced Excel
Tools: Git, Snowflake, PostgreSQL, MongoDB
✅ Why Choose Me:
ROI and business value-oriented approach
Turnkey deliverables with complete documentation
Guaranteed responsiveness (response < 2h)
Available within 24h for short or long-term missions
Certified Microsoft Azure Data Scientist Associate (DP-100)
Trilingual: FR/EN/AR
🚀 Portfolio: github.com/saadyaq
French
Native or bilingual
English
Native or bilingual
Arabic
Native or bilingual
Remote only
Primarily works remotely
Experience
- Bouygues TelecomData ScientistTELECOMMUNICATIONSMarch 2024 - December 2025 (1 year and 9 months)Meudon, France• Developed a classification model that reduced inefficient calls in customer service centers by 46%, with an overall accuracy of 94%.• Automated model deployment through MLOps pipelines integrating Docker, AWS Lambda, and SageMaker, accelerating time-to-market by 30%.• Integrated and processed large volumes of customer data with PySpark on Dataiku, improving ingestion performance by over 40%.• Stack: Python, PySpark, Dataiku, Scikit-learn, AWS SageMaker, Tableau, Teradata.
- LeboncoinData ScientistDIGITAL AND ITApril 2022 - October 2022 (6 months)Paris, France• Retrieved, structured, and analyzed textual data from user ads using Azure Data Factory, including bias detection and input cleaning.• Trained an automatic ad classification model combining TF-IDF, custom embeddings, and Azure AI services, achieving 92% accuracy.• Deployed the NLP pipeline in the cloud via a FastAPI microservice to automate the processing of new ads.• Stack: Python, Scikit-learn, Azure AI, Azure Data Factory, FastAPI, PostgreSQL, Git.
- Université Polytechnique de ValenceData ScientistRESEARCHDecember 2022 - April 2023 (4 months)Valence, Spain• Built multilingual datasets for text generation using open-source LLM models (AraGPT, BLOOM), covering various domains (media, social networks, etc.).• Developed an automatic language detection model with over 90% accuracy, used as a preprocessing step for generation.• Prepared text processing pipelines (cleaning, vectorization, encoding) with Pandas, Scikit-learn, and Transformers, optimizing experiment reproducibility.• Stack: Python, PyTorch, Transformers, Scikit-learn, Git.
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Education
- Computer Engineering DegreePolytechnique Marseille School2024Diplome en génie informatique
- MLOps Practitioner & Advanced DesignerDataikuMLOps Practitioner & Advanced Designer
Certifications
- Microsoft Azure Data Scientist Associate (DP-100)Microsoft2024