Kamel Oueslati

Data Scientist with hands-on, end-to-end experience across the analytics lifecycle: data cleaning and validation, exploratory data analysis, statistical modeling, machine learning, and dashboard delivery.

Delivered Semantic Pilot

Learning, a production-grade Generative AI platform, applying NLP, predictive modeling, and rigorous model benchmarking to solve real business problems in collaboration with cross-functional stakeholders. Proficient in Python, SQL, and Power BI, with practical experience in classification, clustering, customer segmentation, and churn prediction. OCI Data Science Certified.

Comfortable working directly with business and product stakeholders to translate requirements into analytical solutions, and quick to ramp up on new analytics and product-analytics platforms.

AI Engineer / Data Scientist - PFE Intern at AYP Edge (2025-01 – Present)

Delivered a production-grade Generative AI platform (Semantic Pilot Learning) built on a 6-agent LLM architecture, applying statistical modeling and machine learning to real business requirements.

• Owned data engineering for the analytics pipeline: cleaned, validated, and quality-checked multi-format datasets, implementing labeling and classification for structured data curation.
• Applied NLP and statistical techniques to categorize and structure textual data by intent and complexity, improving retrieval accuracy through a Qdrant-based RAG system with Sentence-Transformer embeddings.
• Evaluated and benchmarked 7 machine learning models (Llama, Mixtral, DeepSeek, Gemma, Qwen) on accuracy, latency, and cost to select the optimal solution for production deployment.
• Designed and ran validation testing on generated content and model outputs to verify accuracy and quality before release.
• Collaborated directly with academic stakeholders to translate business requirements into analytical and technical specifications across the full project lifecycle.

Data / BI Intern at BIAT Bank (2025-01 – 2025-12)

• Queried and modeled customer and geolocation data (SQL) to build traffic-prediction and forecasting models, improving branch-placement decisions.
• Built Power BI dashboards to communicate analytical insights and support stakeholder decision-making.

Data Intern at Ministry of Social Affairs (2023-01 – 2023-12)

Automated data processing and quality validation for 500+ employee records, increasing HR reporting efficiency by 30%.

Engineering Degree in Data Science & Artificial Intelligence – TEK-UP University (2023-01 – 2026-12)

Bachelor's Degree in Software Engineering – FST University (2022-01 – 2023-12)

Integrated Preparatory Classes in Math-Physics-Computer Science – FST University (2020-01 – 2022-12)