Jacob Mannix is a Senior Data Analyst with seven years of analytics experience and an MS in Analytics & Data Science from the University of New Hampshire. At Sedgwick he applies machine learning and dimensionality-reduction techniques—ranging from XGBoost and Random Forests to PCA, t-SNE, and UMAP—to turn complex datasets into actionable insights. His foundation in Information Systems & Business Analytics gives him a pragmatic lens on deploying models that drive business value, and he’s comfortable across clustering, classification, and deep learning methods. A disciplined team player from five years on UNH’s men’s soccer team, he pairs technical rigor with strong collaboration and leadership under pressure. Based in New Hampshire, he also maintains a GitHub presence as a data scientist, signaling an ongoing commitment to hands-on experimentation and reproducible analysis.
6 years of coding experience
Bachelor of Science - BS, Bachelor of Science - BS at University of New Hampshire Peter T. Paul College of Business and Economics
Master of Science - MS, Master of Science - MS at University of New Hampshire
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