Christopher Angel is a proficient data scientist and analyst with comprehensive experience across various industries. Notable roles include Junior Data Scientist and Analyst at Popular, where Christopher developed machine learning models and PowerBi visualizations, as well as a Machine Learning Engineer at NASA Goddard Space Flight Center, focusing on atmospheric anomaly detection and data analysis. Previous positions include Technical Support Representative at Bloomberg LP and Administrative Assistant at Harris Paints Corp. Christopher holds a Master of Science in Data Science from Universidad Complutense de Madrid and a Bachelor of Business Administration in Finance from the University of Puerto Rico, with ongoing doctoral studies in Information Technology specializing in Artificial Intelligence at the University of the Cumberlands.
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