Christopher C.

Christopher C. is a Data Scientist with extensive experience in data science roles at ARGO and Ribbon Communications. Currently serving as a Data Scientist 1 and previously as a Data Science Apprentice at ARGO since March 2024, Christopher C. has implemented advanced computer vision solutions using Python libraries to develop an automated system for identifying noise types. In earlier roles at ARGO as a Data Science Intern, Christopher C. designed an autoencoder model to enhance signature cleaning accuracy. During an internship at Ribbon Communications, Christopher C. utilized SQL for data cleansing and constructed predictive models using Python. Christopher C. holds a Master of Science in Statistics and a Bachelor of Science in Data Science from The University of Texas at Dallas.