Nick is a Director of Research at Y2 Analytics who specializes in making the complex simple. He is an expert at complex analysis and modeling and turning predictive modeling into profit driving insights that executives can understand and engage with.
Not only does Nick partner with clients to meet their needs, he employs the most robust statistical practices to do so. He has comprehensive experience with multinomial regression modeling, clustering/segmentation analysis, factor analysis, geocoding, fully scalable data analysis, and interactive data visualizations. With this extensive toolkit, he works to make complex predictive modeling approachable and applicable, allowing businesses to leverage customers perspectives, predict the future, and lead to positive change.
Nick discovered his passion for statistics at Brigham Young University, where he graduated with a double major in International Relations and Spanish Studies.
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