H. Emir Can

•Designed and implemented a machine learning system that predicts customer sales with more than 80% accuracy using Python, PySpark,SQL. •Identifying and implementing machine learning models to improve Recommendation Systems performance by %30 which results %150 increase in revenue for retail. •Orchestrated the implementation of CI/CD pipelines in collaboration with MLOps engineers, leveraging Azure Machine Learning and Azure DevOps; reduced deployment time by 40% and increased release frequency by 50%

•Developed and coded simulations using MATLAB/Simulink to analyze missile performance, resulting in a 15% increase in accuracy and a 20% improvement in efficiency. •Collaborated with cross-functional teams of 20 engineers to develop design procedures, leading to a 30% reduction in missile design iterations and saving over 100 hours of engineering time. •Communicated simulation results and design recommendations to stakeholders through 20+ presentations and reports, driving informed decision-making.