About

Andrew Reed is a highly skilled machine learning research engineer with a strong background in data science and research. He is currently employed at Cloudera as a machine learning research engineer, where he is responsible for developing and implementing machine learning algorithms and models to solve complex business problems. Andrew has also worked as a data scientist at Cloudera and Deloitte, where he gained extensive experience in data analysis, visualization, and modeling. Andrew holds a Bachelor's degree from Virginia Tech, where he majored in Computer Science. During his time at Virginia Tech, he developed a strong foundation in computer programming, data structures, algorithms, and machine learning. He is also passionate about research and has contributed to several research projects in the field of machine learning. Andrew's technical expertise includes research scientist, machine learning, and data science. He has a deep understanding of machine learning algorithms, statistical modeling, and data analysis techniques. He is also proficient in programming languages such as Python, R, and Java. With over 7 years of relevant experience in the field of machine learning and data science, Andrew has a proven track record of delivering high-quality solutions to complex business problems. He is a team player who is always willing to share his knowledge and expertise with others. Andrew is a highly motivated individual who is constantly seeking new challenges and opportunities to learn and grow.