Yara Mostafa

I gained practical experience in Data Science and Machine Learning, focusing on model development, calibration, and evaluation. I worked with supervised and unsupervised learning techniques, time-series modeling, and neural networks. Additionally, I applied MLOps practices for model deployment and learned to evaluate and fine-tune models for optimal performance. I also gained hands-on experience with tools like Kafka, NiFi, and Docker for big data processing, and worked with SQL/NoSQL databases, Airflow, and the ELK stack. My exposure to the Django web framework, Microsoft Power BI, and object-oriented programming enhanced my software engineering skills and ability to deliver data-driven insights.

• Algorithm Development: Enhance the Al algorithms that analyze driver behavior, drowsiness, and distraction patterns in real-time. • Data Analysis: Analyze and interpret large datasets collected from driver monitoring systems to derive valuable insights for future improvements. • Safety Performance Testing: Conduct rigorous testing to assess the DMS system's effectiveness under various driving scenarios. • Integration with Vehicle Systems: Investigate seamless integration of the DMS technology into existing vehicle systems for broader application.