About

Joseph Cessna is a highly skilled and experienced machine learning engineer with over 12 years of relevant experience in the field. Currently, he is working at Intuit as a machine learning engineer, where he is responsible for developing and implementing machine learning models and algorithms to improve the company's products and services. Prior to joining Intuit, Joseph worked at Numerica Corporation as a program manager and research scientist, where he gained extensive experience in software engineering, data analysis, and machine learning. He has a strong background in developing and implementing complex algorithms and models for various applications, including computer vision, natural language processing, and predictive analytics. Joseph has a solid educational background, with a Bachelor's degree in Computer Science from the University of Wisconsin - Madison, and a Master's degree in Computer Science from the University of California, San Diego. He has also completed a Machine Learning Engineer Nanodegree program from Udacity, where he gained hands-on experience in building and deploying machine learning models. Joseph is a highly skilled and versatile professional with expertise in various technologies, including ML, Senior Software Engineering, and Data Science. He has a proven track record of delivering high-quality results and exceeding expectations in his work. He is a proactive problem solver, with excellent communication and collaboration skills, and a strong ability to work independently or as part of a team. In summary, Joseph Cessna is a highly experienced and skilled machine learning engineer with a strong educational background and a proven track record of delivering high-quality results. He is a valuable asset to any organization looking to leverage the power of machine learning to improve their products and services.