About

Geoffrey Rathinapandi is a highly skilled Machine Learning Lead with over 5 years of experience in the field. He is currently working as a Machine Learning Manager at involve.ai, where he leads the development and implementation of machine learning algorithms and models. Geoffrey has a proven track record of delivering successful machine learning solutions that drive business growth and improve operational efficiency. Geoffrey's expertise lies in the development and deployment of machine learning models, natural language processing, and deep learning. He has extensive experience in building and deploying machine learning models for various applications, including predictive maintenance, fraud detection, and sentiment analysis. Geoffrey is also proficient in programming languages such as Python and R, and has experience working with big data technologies like Hadoop and Spark. Geoffrey holds a Master of Science degree in Computer Science from Texas Tech University, where he specialized in Machine Learning. He also holds a Bachelor of Engineering degree in Computer Science from Anna University. During his academic career, Geoffrey was involved in several research projects related to machine learning and natural language processing. Prior to his current role, Geoffrey worked as a Machine Learning Lead and Machine Learning Engineer at involve.ai. In these roles, he was responsible for developing and implementing machine learning solutions for clients across various industries, including healthcare, finance, and retail. Geoffrey is a highly motivated and results-driven professional who is passionate about using machine learning to solve complex business problems. He is a team player who enjoys collaborating with cross-functional teams to deliver innovative solutions that exceed client expectations.