An empath at heart and an analyst by trade I bring clarity to complexity Uncovering truths in data to guide better decisions with transparency and optimism
"As a data scientist intern,
she was a real asset for our team working on RAG, LLM evaluation and the theory behind tokenization. She is very competent and reliable."
Svitlana Galeshchuk
Lead Data Scientist, Arval BNP Paribas Group
Michel Sawaya
AI Business Analyst, Arval BNP Paribas Group
"Her contributions delivered beneficial results and exceeded expectations; she consistently maintained constructive and collaborative interactions with business stakeholders."
Ali Nazarinia
Lecturer & Researcher, Bordeaux School of
Economics and KEDGE Business School
"She is hardworking and ambitious, always eager to learn and grow. Her thirst for knowledge drives her to tackle challenges head-on, making her an asset in any team."
Projects
WHO Knowledge Assistant
Global health guidance is vast — but finding the right answer shouldn’t be difficult.
Why does this matter? Because informed decisions save lives. From treatment protocols to public health policies, healthcare professionals depend on accurate, reliable knowledge to act with confidence.
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Powered by Retrieval-Augmented Generation (RAG), the WHO Knowledge Assistant connects AI with official World Health Organization documents. Ask questions in natural language and receive clear, source-grounded answers drawn directly from trusted World Health Organization (WHO) publications.
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This isn’t just a chatbot — it’s a step toward making global health knowledge more accessible, structured, and actionable. Explore how AI can help transform the way we interact with critical medical guidance.
