Daniel Kary is a Data Scientist II at Unum, where he leverages his robust background in economics to drive data-driven decision-making across the organization. With a strong foundation in research, statistical modeling, and data visualization, Daniel is adept at transforming complex datasets into actionable insights...
Daniel Kary is a Data Scientist II at Unum, where he leverages his robust background in economics to drive data-driven decision-making across the organization. With a strong foundation in research, statistical modeling, and data visualization, Daniel is adept at transforming complex datasets into actionable insights that enhance operational efficiency and customer satisfaction. One of his key projects involved the development of an innovative PowerBI dashboard designed specifically for Auditors. This tool provides an independent lens on business operations by analyzing customer service requests, enabling stakeholders to identify trends and areas for improvement.
Daniel's expertise extends to a variety of analytical tools and methodologies, including Python, SQL, and SPSS, which he employs to conduct thorough data analyses and regression modeling. His proficiency in GIS and ArcGIS further enhances his ability to visualize data spatially, making it easier for teams to understand geographical trends and patterns that impact business strategies. Additionally, his experience in survey research equips him with the skills to gather and interpret qualitative data, enriching the quantitative insights derived from statistical analyses.
Motivated by challenges that require creative problem-solving, Daniel thrives in collaborative environments where he can engage with cross-functional teams to tackle complex issues. His commitment to continuous learning and improvement ensures that he remains at the forefront of industry trends, making him a valuable asset to Unum as they navigate the evolving landscape of data science and analytics.
