About me

Ahmad Aladawi is a Data scientist and researcher with strong experience in creating and applying machine learning to system-level analysis. Experience in developing and deploying machine learning models to IoT networks and real-time prototypes for decision support systems. Proficient in multiple programming languages such as Python, Java, and C++, as well as dealing with big data and different machine learning platforms including Pandas, scikit-learn, Keras, and TensorFlow.
As a scholar with a strong passion for novel research and interprofessional cooperation, I am committed to advancing the National Digital Twin Programme (NDTP) and the overall concept of digital twins to enhance business operations and decision-making. Having worked closely with environmental sensor data, I am eager to contribute to cutting-edge projects that bridge the gap between academia and industry. My ability to work independently and as part of a multi-disciplinary team, coupled with excellent interpersonal and organizational skills, makes me well-suited for driving impactful research initiatives in the realm of digital twins and data science.