Adel Basli is a Team Lead Data Science & AI at Label Insight with over 11 years of experience leveraging machine learning and AI to drive business value, particularly in health, wellness, and nutrition applications. Currently based in Paris, he leads data science initiatives that have achieved significant operational improvements, including 50% automation of product attribute maintenance and $3 million in annual cost savings through GenAI-based solutions.

Basli's career progression includes senior roles at Nielsen IQ and The Nielsen Company, where he led teams in developing machine learning applications, optimized NLP systems, and built autoML platforms that generated $12 million in incremental revenue. His expertise spans deep learning, full-stack development, CI/CD pipelines, and team leadership, with proven success in reducing operational costs by 20% while improving system efficiency by 35%.

He holds an MSc in Engineering from Ecole Centrale Paris with additional experience at MIT Sloan School of Management, where he researched supervised learning algorithms. Basli maintains multiple AWS and Microsoft Azure certifications, serves as a Senior Member of IEEE, and actively contributes to the data science community as a hackathon judge and trainer. His technical expertise encompasses advanced AI technologies including GenAI, LangChain, RAG, and transformer architectures, combined with strong leadership skills in managing cross-functional teams and agile methodologies.