Freelancer profile translated to English.
Back to original languageAbout Selim
I design, develop, and optimize end-to-end data solutions, from collection to business activation.
My goal: transform your raw data into measurable and scalable decision-making levers.
My key skills:
-> Data Engineering: Python, FastAPI, Airflow, BigQuery, SQL, GCP, Docker
-> Pipelines & Automation: ingestion, transformation, feature engineering, production scoring
-> Data Science & NLP: classification, information extraction, Transformer models (BERT/DistilBERT/DeBERTa)
-> Web scraping & crawling pipeline (Selenium, proxies, captcha-solving, vpn)
-> Deployment & MLOps: containerization, CI/CD, basic monitoring
What I do for you:
-> Creation of cloud-ready data pipelines (batch or real-time)
-> Automatic enrichment via APIs, scraping, automations
-> Specialized ML models (NLP, sentiment analysis, custom scoring)
-> Industrialization and optimization of your existing scripts
Stack:
Python / BigQuery / GCP / SQL / Airflow / Docker / FastAPI / Hugging Face / TensorFlow / Pandas / NumPy / Scikit-learn / Selenium / Git / GitHub Actions / REST APIs / CI-CD / Linux / Bash
Who I work for:
Startups, e-commerce, media agencies, digital marketing & growing data teams.
📩 Available for one-off or part-time missions.
Let's talk about your needs!
French
Native or bilingual
English
Fluent
Arabic
Native or bilingual
Spanish
Basic
Remote only
Primarily works remotely
Experience
- Retail4BrandsData ScientistE-COMMERCEMarch 2025 - September 2025 (6 months)Paris, France○ Designed and deployed an NLP model automating the classification of 250,000+ daily Amazon requests, entrusting the machine with a previously manual and time-consuming task — reducing processing time from several days to less than 10 minutes and an estimated productivity gain of +95%.○ Modernized web scraping techniques through code optimization and a complete infrastructure overhaul (GCP, Cloud Run, Compute Engine, Artifact Registry, ProtonVPN, multiprocessing) — transitioning from 1 capture every 4 seconds to 1 capture per second, a 4x speed increase.○ Parallelized and made robust industrial data capture flows, reducing daily delivery time by 2 hours and improving the success rate of processing from 80% to over 99% thanks to a robust asynchronous architecture (SQL, GCP, Amazon Ads API).
- Stock Market Prediction Bourse de CasablancaQuantitative ResearchJune 2024 - September 2024 (3 months)Casablanca, Morocco○ Stock market index prediction (MASI 20) with LSTM networks and technical indicators○ Trading strategy simulation and visualization via notebooks (Pandas, Scikit-learn)
- Agence du Bassin Hydrolique du TensiftPython DeveloperJuly 2023 - September 2023 (2 months)Morocco○ Python application to automate pluviometric data processing – 100% reduction in processing time (Tkinter, openpyxl)○ Integration of real-time climate flows with automatic generation of Excel reports
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Education
- Engineering Degree in Applied MathematicsSup Galilée2025
- Bachelor's Degree in MathematicsUniversité Sorbonne Paris Nord2023