Steve Iannaccone
About Steve Iannaccone
Steve Iannaccone is a Machine Learning Engineer currently working at Pie Insurance in Denver, Colorado. He has a diverse background in data science, having held various roles at companies such as Ibotta, Inc. and Gaia Inc., and has transitioned from a career in cancer research to data science.
Work at Pie Insurance
Steve Iannaccone currently serves as a Machine Learning Engineer at Pie Insurance, a position he has held since 2023. Prior to this role, he worked as a Data Scientist at the same company from 2020 to 2023. His tenure at Pie Insurance spans a total of three years, during which he has operated remotely from Denver, Colorado. In his roles, he has utilized various analytical tools and techniques to enhance the company's data-driven decision-making processes.
Previous Experience at Ibotta, Inc.
Steve Iannaccone has extensive experience at Ibotta, Inc., where he held multiple positions. He worked as a Senior Business Intelligence Developer from 2017 to 2019 and as a Business Intelligence Analyst for four months in 2017. Additionally, he served as a Senior Analyst for four months in 2017. His roles at Ibotta involved leveraging data to inform business strategies and improve operational efficiencies.
Educational Background
Steve Iannaccone earned a Bachelor's degree in Mathematics from the University of Colorado Boulder, where he studied from 1997 to 2003. He furthered his education in data science by completing a Data Science Immersive program at Galvanize in Denver, which he attended for three months from 2016 to 2017. This educational foundation has equipped him with the analytical skills necessary for his career in data science.
Transition to Data Science
Steve Iannaccone transitioned from a career in cancer research to data science, demonstrating adaptability and a commitment to evolving his skill set. This career shift reflects his dedication to leveraging data for impactful decision-making. His relocation from Chicago to Denver was a strategic move to pursue opportunities in the data science field.
Technical Skills and Tools
Steve Iannaccone utilizes a diverse set of tools and programming languages in his work, including Python, R, Shiny, SQL, and Spark. His expertise in these technologies enables him to derive actionable insights from complex data sets. He emphasizes a strong narrative approach to data analysis, focusing on transforming raw data into strategic plans.