Freelancer profile translated to English.
Back to original languageAbout Adel
I transform your data into truly usable decision-making models and AI solutions in production: scoring, anomaly detection, and LLM/RAG (semantic search on internal documentation).
Pragmatic, impact-oriented approach:
KPI → POC → metric validation → industrialization.
What I deliver (concrete deliverables)
- Scoring & segmentation: churn, risk/fraud, lead scoring, prioritization, qualification (models + features + evaluation + interpretability).
- Anomaly detection & monitoring: unusual behaviors, alerting, drift, data quality (metrics + thresholds + tracking).
- LLM / RAG & NLP: semantic search, information extraction, classification, summarization, document automation with sources/citations.
- Data visualization / reporting: dashboards and automated reporting (based on your tools).
Work methodology
Quick scoping (objective + KPIs) → functional prototype → measurement (metrics) → recommendations → production deployment (tests, logs, docs, versioned code) + transfer to teams.
Stack: Python, SQL, pandas, scikit-learn, XGBoost, PyTorch/TensorFlow, FastAPI, Streamlit, LangChain/Langgraph.
Objective: deliver robust, understandable solutions used by your teams.
French
Native or bilingual
English
Native or bilingual
German
Conversational
Spanish
Conversational
Can work on-site
Paris (up to 50km)
Experience
- TF1Data ScientistFILM AND AVSeptember 2025 - Today (9 months)92100 Boulogne-Billancourt, France
- Contribution to the entire data science lifecycle for theAd SalesandB2Cteams: data collection, preparation, modeling, deployment, and monitoring.
- Design and optimization ofML/DLmodels (recommendation systems, computer vision, time series) with **Databricks, Azure, Snowflake**, and Cassandra.
- Structuring, cleaning, and aggregating heterogeneous data sources (user history, CRM databases, metadata) to translate business needs into data solutions.
- Monitoring model performance and detecting drift; implementing controls and reporting to ensure model reliability over time.
- Fund Channel - AmundiData ScientistBANKING AND INSURANCEFebruary 2025 - July 2025 (5 months)Luxembourg, Luxembourg
- Development and optimization of Python applications to automate financial processes, reducing processing times by **70%**.
- Implementation ofCI/CDpipelines withJenkinsto automate tests and deployments, with a success rate above **95%**.
- Design of aRAGworkflow (LangChain, FAISS, OpenAI) for information extraction and summarization, applied to over1,000 pagesof financial documents.
- Close collaboration with business teams to translate challenges into technical solutions, through iterative feedback cycles.
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Education
- Centralien EngineerEcole Centrale Méditerranée2026Engineering Degree
- Preparatory Classes for Engineering Schools – PCSI/PSILycée du Parc des Loges2023Preparatory Classesfor Engineering Schools – PCSI/PSI