Ruonan Ding has more than five years of experience in the actuarial science and financial field across asset management and insurance sectors. She was a pricing actuary for a property and casualty company, a lead analyst in capital reserve adequacy and product pricing. She also led cross-functional teams reporting to senior management. Her experience developing a pricing algorithm for a commercial line of insurance using loss cost empirical analysis resulted in a significant increase in profitability. This is what led Ruonan to realize her passion for data science. Ruonan also has strong background in derivative option pricing and theoretical statistics, as well as R and Python. She holds an MS in Finance, specializing in risk management from University of Illinois Urbana Champaign. In her spare time, she trains for marathons and loves dancing. She currently lives in New York City with her cat and dog.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
