Freelancer profile translated to English.
Back to original languageAbout Saad
🎓 Computer Engineering graduate from the University of Technology of Compiègne (UTC) and holder of an MSc in Quantitative Finance (Neoma BS), with a dual expertise in data science and business
💼 **My goal**: to design and deploy reliable and actionable artificial intelligence solutions, placing data at the heart of strategic decision-making.
My experiences have led me to work on concrete and high-impact cases:
• **Automatic Text Processing (NLP)**: classification of customer verbatim, topic detection, email categorization, implementation of zero-shot models, fine-tuning of LLM models (GPT, LLaMA2, Gemini) to optimize customer flows in banking (LCL) and industry (Renault).
• **Customer Scoring and Segmentation**: development of attrition scores and segmentation models to enhance marketing campaign effectiveness and customer loyalty.
• **Sentiment Analysis applied to Finance**: integration of qualitative signals into financial portfolio construction, improvement of investment strategies through AI.
• **Deployment of AI Tools**: industrialization of models via robust pipelines (FastAPI, Docker), simple interfaces (Streamlit), and dynamic dashboards (Power BI) to make AI accessible to business units.
• **Technical Stack: Python, SQL, TensorFlow, Pytorch, Scikit-Learn, Numpy, Pandas, FastAPI, Streamlit, Google Cloud, Git, Docker, Bloomberg...
My profile is aimed at companies or teams that wish to transform their data into concrete levers for action, whether for NLP projects, scoring, financial analysis, or custom AI modeling.
Attentive, I simplify complex topics and help you clearly define your needs to ensure clear, useful, and adapted deliverables.
French
Native or bilingual
English
Fluent
Spanish
Basic
Can work on-site
Paris (up to 50km)
Experience
- Le Crédit Lyonnais (LCL)Data ScientistDecember 2023 - March 2025 (1 year and 3 months)Paris, France
- Deployment of an email classification pipeline (F1 = 0.92) on 150k messages, automating 60% of manual sorting.
- Construction of a clustering and classification pipeline on 700K claims - 50% gain in annotation time.
- Development of modules for an internal search engine (indexing, chunking, embeddings).
- Integration of sentiment analysis scores into financial portfolio modeling and optimization.
- Creation of dashboards for portfolio performance monitoring (return, volatility...).
- Renault GroupData Scientist - End of Studies InternshipFebruary 2023 - August 2023 (6 months)Paris, France
- Scraping and processing of 1M customer verbatim from web applications. (Selenium, BERT, Llama2)
- Exploration of approaches for text classification based on similarity and transfer learning.
- Development and adaptation of zero-shot models achieving +87% accuracy. (Palm, GPT, T5)
- Design of a classification tool adopted by +15 operators, reducing processing time by 50%. (Streamlit)
- Production of dashboards to track 12 KPIs for reporting to quality teams. (PowerBI)
- NovosData Scientist - Assistant Engineer InternshipSeptember 2021 - February 2022 (5 months)Paris, France
- Automation of the reception and management of customer data flows via GCP (+40 associations).
- Development of donor attrition scores (XGBoost, Random Forest, SVM...).
- Segmentation and modeling of customer journeys to optimize marketing targeting.
- Analysis of geographical data and production of thematic maps to visualize trends. (QGIS)
- Creation of dashboards for the analysis of annual collections and competitive benchmarks (Power BI).
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Education
- MSc. Quantitative Finance.Neoma Business School2024MSc. Quantitative Finance.
- Computer Engineering Degree.Université de Technologie de Compiègne2023Diplôme d'ingénieur en informatique. (Spécialité Data Science)