With over three years of experience in Python, Machine learning, and Deep learning, I have acquired a solid foundation in the principles and techniques used in these fields. My expertise includes data preprocessing, model selection, hyperparameter tuning, and evaluation. Additionally, I have hands-on experience with various deep learning frameworks such as TensorFlow, Keras, and PyTorch. Furthermore, I have knowledge and experience in cloud services such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Overall, my experience in machine learning, deep learning, and cloud services has provided me with a well-rounded skill set and the ability to take on complex and challenging projects in these fields.

Complementing this expertise, I've immersed myself in the realm of IoT through intensive research. My exploration has delved into the realm of smart city development, harnessing IoT's transformative power. Over these 3 years, I've honed my skills in IoT architecture, sensor networks, and data analytics. This fervent passion drives me to translate these insights into innovative solutions, particularly in the areas of transportation, energy management, and public safety. Armed with a synthesis of IoT, Machine Learning, and Deep Learning prowess, I'm poised to tackle intricate real-world challenges with unwavering confidence.