About

Mohamed Kedir Noordeen is a highly skilled Machine Learning Engineer with over 8 years of relevant experience in the field. He is currently working at PayPal, where he applies his expertise in statistical data modeling, machine learning, deep learning, computer vision, and natural language processing to turn structured/unstructured data into actionable insights that help in making better-informed and data-driven decisions. Mohamed is a passionate Machine Learning and Deep Learning enthusiast who enjoys working with data. He has a proven track record of success in data exploration, feature engineering, creating and fine-tuning models, predicting and finding insights. He is also passionate about training people in Machine Learning and Deep Learning competencies, thereby contributing to the democratization of AI to solve real-world problems and create the greatest improvements in quality of life the world has ever seen. Before joining PayPal, Mohamed worked as a Machine Learning Engineer at Zoho, where he was responsible for creating, evaluating, and fine-tuning machine learning and deep learning models that provide intelligence to an AI-powered sales assistant 'Zia' for Zoho CRM. He worked with cross-functional teams to develop an intelligence system and motivated engineers to take data-driven decisions. He was also a part of the R&D team that continuously explored and evaluated various strategies to build effective AI systems. Furthermore, he was involved in building AI competencies within the team by conducting workshops and training sessions. Mohamed also has more than a year of experience as a Full-stack web developer developing Enterprise Single Page Applications using Angular JS and REST for The Bank of New York Mellon Corporation. He was responsible for developing UI and REST APIs and finding ways to improve the application. Mohamed holds a Bachelor of Technology (B.Tech.) in Information Technology from Anna University. He also completed his Higher Secondary education in Mathematics and Computer Science from St. Gabriel's Higher Secondary School in Chennai. Mohamed's technical skills include ML, AI, Computer Vision, NLP, Web, Deep Learning, SQL, Spark, Hadoop, Python, JavaScript, Data Scientist, AngularJS, test, Random Forest, Java, UI, and Scala. His passion for data-driven insights and AI solutions make him an asset to any organization.