Majed Alkhatib

• Developed a machine learning predictive model using Python and specialized libraries (Pandas, NumPy, Matplotlib, scikit-learn, Stearmlit) achieving a low MAPE of 6.47%. • Executed a use case interface using Python, integrating the predictive model to optimize pricing strategies and identify potential markets, resulting in a 1.6% potential unrealized revenue. • Awarded 1st place in the 6th Graduation Project Competition organized by Abdullah Gul University.

• Applied Kaizen and 5S techniques, enhancing workplace quality and safety. • Implemented improvements in documentation processes. • Programmed and optimized a MIP model for textile sewing job assignment, leading to an 8% productivity increase.