Summary
Daniel Seo is a data analyst and actuarial professional with 11 years of practical experience and an Applied Mathematics degree from UC Berkeley, combining rigorous math training with hands-on analytics across insurance, finance, and education. He holds passed Actuary exams P/1 and FM and has applied statistical programming (Python, R, SAS), SQL, and BI tools (Tableau, Power BI) to support risk assessment and marketing operations at firms like Blue Shield of California, Houlihan Lokey, and now Bluefire Insurance. Comfortable translating complex quantitative results into clear recommendations, he also tutors advanced math and SAT students, a background that sharpens his communication and pedagogical clarity. Based in Carrollton, Texas, Daniel brings a meticulous, verification-driven approach to experimentation and model accuracy, and he’s uniquely skilled at bridging actuarial rigor with practical data-product needs.
11 years of coding experience
Applied Mathematics, Applied Mathematics at University of California, Berkeley
Mathematics, Mathematics at University of California, Riverside
Korean, English, Japanese