badreddine chaguer

As a Senior Data Scientist, I lead projects, shape strategic direction, and mentor junior team members. Specializing in advanced analytics, I develop and deploy IA models and ensure ethical data practices. With deep domain expertise, I communicate insights effectively, driving innovation and continuous improvement within the organization.

- Development of a chatbot Fine-tuned on over 1,000 PDF documents containing references for all company departments (audit, processes, etc.). This chatbot leverages various techniques (semantic vector approach, ElasticSearch, LLAMA2, RAG, etc.) to provide direct and efficient responses to user inquiries. - Development of a predictive maintenance model: Utilized historical sensor data and Deep Learning to forecast the Total Organic Carbon (TOC) factor 12 hours into the future, achieving 91% accuracy. This led to a 75% reduction in unexpected downtime. - Creation of a machine abort event classification model: Classified machine abort events during the manufacturing process to determine whether a silicon wafer should be rejected, achieving 97% accuracy. This resulted in a 15% reduction in material waste and a 10% improvement in overall yield. - Development of a defect classification model for silicon wafer images: Applied Convolutional Neural Networks (CNNs) to create a robust defect classification model with 92% accuracy, reducing false positives by 30% and improving defect detection efficiency by 25%. - Automated classification of JIRA tickets: Utilized Natural Language Processing (NLP) to classify and route JIRA tickets to the appropriate service teams, achieving 85% classification accuracy. This improved ticket resolution time by 20% and enhanced overall service management efficiency. - Multivariate data analysis: Performed root cause analysis. - JMP coordinator and trainer: Provided training and coordination on the use of JMP