Completed a comprehensiveCompleted a comprehensive course on Python programming, covering fundamental concepts, data structures, and essential libraries. Acquired hands-on experience, laying a strong foundation for data analysis and machine learning applications.
Developed a robust understanding of key machine learning concepts, including supervised learning, regression, classification, and model evaluation. Engaged in practical exercises and projects on Kaggle, gaining practical insights and skills applicable in real-world scenarios.
Attained mastery in data manipulation and analysis techniques using the pandas library. Explored functionalities such as data cleaning, aggregation, and visualization, enabling proficient extraction of valuable insights from diverse datasets.
Currently pursuing a specialized learning path designed for Machine Learning Engineers through Google Cloud Skills Boost. This ongoing program aims to deepen understanding and expertise in advanced machine learning concepts and applications.
Successfully completed an introductory course on Generative AI as part of the Google Cloud Skills Boost program. The course provided a comprehensive exploration into the principles and workings of Generative AI. Achieved a solid understanding of how Generative AI functions, delving into key concepts, techniques, and applications within the rapidly evolving field.
Completed a comprehensive course on Cybersecurity through the Cisco Networking Academy in 2021. Acquired foundational knowledge and skills essential for understanding cybersecurity principles, protocols, and best practices.
Successfully completed a course offered by the University of Illinois at Urbana-Champaign on Coursera. Covered Cloud Systems and Infrastructure, gaining a deep understanding of cloud computing applications. Explored topics related to cloud technologies, architectures, and practical applications in real-world scenarios.