Farzam Nazari

Developed a web app (HTML, CSS, Flask) to test and monitor ML models for joining sequence predictions, automating data exports (Excel/CSV) to streamline workflows and enhance decision-making. Built end-to-end ML solutions, deploying Decision Tree and XGBoost models with automated workflows to optimize production in Body Manufacturing Integration, improving efficiency. Optimized ML pipelines with Docker and CI/CD for scalable, reliable deployments, minimizing system downtime.

• Developed predictive models using machine learning and AI techniques to forecast sales, optimize inventory, and reduce costs, resulting in a 14% improvement in revenue by minimizing stockouts. Also created dashboards using Tableau and reported findings to management. • Implemented customer segmentation analysis using machine learning algorithms to identify distinct market segments based on purchase behavior, enhancing targeted marketing strategies.

• Managed supplier relations and procurement contracts, optimizing vendor negotiations and collaborated with international teams to optimize procurement operations. • Leveraged ERP systems to enhance procurement efficiency for a large scale enterprise. • Conducted cost benefit analysis to improve purchasing decisions and reduce. • Drove standardization across procurement processes, resulting in greater consistency, improved efficiency, and reduced errors.

Focus on Data science and AI