El Fahssi Mohamed

Developed an AI agent to match job offers with candidate profiles using the company’s internal database. •Created a custom matching algorithm with dynamic weighting based on company-specific criteria. •Achieved a 35% increase in matching precision, significantly improving the relevance of job-candidate recommendations. •Contributed to streamlining the recruitment process through intelligent automation.

•Built a machine learning pipeline to segment customers and predict monthly revenue using e-commerce transaction data •Achieved a Silhouette Score of 0.71 for customer segmentation via K-Means •Reached an R² score of 0.89 in monthly revenue forecasting with Random Forest Regressor

Participation in the development of a support Chatbot using a RAG system: •Built a RAG pipeline to answer user queries from internal docs and FAQs. •Handled GDPR compliance and data rights requests •Reached 92% response accuracy during testing.

Machine Learning, Deep Learning, Tensorflow, Pytorch, Supirvised & Unsupirvised learning, Data Analysis, Statistical Analysis