Christopher M. is a Data Scientist at Neustar with over two years of experience in enhancing entity resolution systems, identity graphs, and fraud detection. They have a proven track record of driving revenue from data by collaborating with stakeholders to identify needs and prototype solutions. Christopher has delivered technical presentations to diverse audiences and excels at simplifying complex concepts for both technical and non-technical listeners. With expertise in graph theory, explainable machine learning, and modeling techniques, they develop systems tailored for real-world applications. Christopher holds a Bachelor of Science in Mathematics and Computer Science from Purdue University, where they completed their degree in 2021.
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